Filters








27,950 Hits in 6.0 sec

Genomic approaches in dissecting complex biological pathways

Ning Sun, Hongyu Zhao
<span title="">2004</span> <i title="Future Medicine Ltd"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gcfq53ko6fekjbl4whca5egjki" style="color: black;">Pharmacogenomics (London)</a> </i> &nbsp;
In this review, we discuss pathway reconstruction under the consideration of the complexity embedded in the biological system, and the global and local properties of biological pathways.  ...  We review major methodologies, including clustering methods, scale-free networks models, Bayesian networks models, Boolean networks models, systems of differential equations, and data integration methods  ...  [47] simulated the complex biological system using their NETWORK-INFERENCE algorithm. Their algorithm is based on the dynamic Bayesian network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1517/phgs.5.2.163.27488">doi:10.1517/phgs.5.2.163.27488</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15016608">pmid:15016608</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ewqj2urksfcklbrm3knyo65tnm">fatcat:ewqj2urksfcklbrm3knyo65tnm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060828151658/http://bioinformatics.med.yale.edu/PDF/6_NSun2004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/0d/8c0d0720cb50a2e77ac3b08fbfa7b51bb0d235b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1517/phgs.5.2.163.27488"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Evaluating functional network inference using simulations of complex biological systems

V. A. Smith, E. D. Jarvis, A. J. Hartemink
<span title="2002-07-01">2002</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
of complex biological systems from limited data.  ...  We sampled the simulated data at intervals as one would sample from a biological system in practice, and then used the sampled data to evaluate the effectiveness of an algorithm we developed for functional  ...  Our functional network inference algorithm, called NETWORKINFERENCE, uses Bayesian networks to model complex biological systems like those governing vocal learning in the songbird brain.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/18.suppl_1.s216">doi:10.1093/bioinformatics/18.suppl_1.s216</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/12169550">pmid:12169550</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j33hd54aabexpesxhmoujwt6ji">fatcat:j33hd54aabexpesxhmoujwt6ji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060925071417/http://www.cs.duke.edu/~amink/publications/manuscripts/hartemink02.ismb.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/9b/689bdd846912991a25b89bbbe2fb1fd0a4bd44ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/18.suppl_1.s216"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Network Identification Methods [article]

Young Hwan Chang, Claire Tomlin
<span title="2016-08-23">2016</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This article provides a brief overview of different approaches used to identify biological networks and reviews recent advances in network identification.  ...  Recently, network inference algorithms have grown tremendously in the field of systems biology because network identification is essential for understanding relationships between regulation mechanisms  ...  It is commonly used in Bayesian networks, which have several attractive properties for the inference of signaling pathways from biological data sets; Bayesian networks can represent stochastic nonlinear  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/071217">doi:10.1101/071217</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/whn3xzdiw5fhfacnigslcoq2fy">fatcat:whn3xzdiw5fhfacnigslcoq2fy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502012545/https://www.biorxiv.org/content/biorxiv/early/2016/09/26/071217.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/05/51/0551800012b30b69d7bcd69fa80259bbad78895d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/071217"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Simple Bayesian Gene Network Learning in Populus Drought Transcriptome Data

Amir Almasi Zadeh Yaghuti, Ali Movahedi, Hui Wei, Weibo Sun, Mohaddeseh Mousavi, Qiang Zhuge
<span title="2021-12-31">2021</span> <i title="Bangladesh Journals Online (JOL)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nnpbi55cdreplol54icakuwfca" style="color: black;">Bangladesh Journal of Botany</a> </i> &nbsp;
In the present study, different forms of gene Bayesian networks were detected on Populus cellular transcriptome data.  ...  Constructing a sensibly functional gene interaction network is highly appealing for better understanding system-level biological processes governing various Populus traits.  ...  Acknowledgments This study was supported by the National Science Foundation of China (No. 31570650) and the Priority Academic Program Development of Jiangsu Higher Education Institutions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3329/bjb.v50i4.57075">doi:10.3329/bjb.v50i4.57075</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/isbgnb2n4rhrdipvne5ruo3meq">fatcat:isbgnb2n4rhrdipvne5ruo3meq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220206192306/https://www.banglajol.info/index.php/BJB/article/download/57075/39862" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f7/fd/f7fd0d88c576f7cbed662fc04fab7f279479bc75.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3329/bjb.v50i4.57075"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

BAYESIAN DATA INTEGRATION: A FUNCTIONAL PERSPECTIVE

Curtis Huttenhower, Olga G. Troyanskaya
<span title="">2006</span> <i title="Imperial College Press"> Computational Systems Bioinformatics - Proceedings of the Conference CSB 2006 </i> &nbsp;
This study considers the effect of network structure and compares expert estimated conditional probabilities with those learned using a generative method (expectation maximization) and a discriminative  ...  We focus on the ability of Bayesian networks to predict functional relationships between proteins under a variety of conditions.  ...  taking advantage of additional network parameters; a naive Bayesian assumption limits both the complexity and the representational power of the network 17 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/18609475730044">doi:10.1142/18609475730044</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7rsz6xxsf5hfjn2ymkpkh64jca">fatcat:7rsz6xxsf5hfjn2ymkpkh64jca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20061013052701/http://www.lifesciencessociety.org/CSB2006/Papers/064_Huttenhower.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/ca/31caa95205b08459084ad6f72009f54f928d67f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/18609475730044"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

BAYESIAN DATA INTEGRATION: A FUNCTIONAL PERSPECTIVE

Curtis Huttenhower, Olga G. Troyanskaya
<span title="">2006</span> <i title="Imperial College Press"> Computational Systems Bioinformatics - Proceedings of the Conference CSB 2006 </i> &nbsp;
This study considers the effect of network structure and compares expert estimated conditional probabilities with those learned using a generative method (expectation maximization) and a discriminative  ...  We focus on the ability of Bayesian networks to predict functional relationships between proteins under a variety of conditions.  ...  taking advantage of additional network parameters; a naive Bayesian assumption limits both the complexity and the representational power of the network 17 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/1860947573_0044">doi:10.1142/1860947573_0044</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qr67ouqwrrb2fnzr5viemaohke">fatcat:qr67ouqwrrb2fnzr5viemaohke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20061013052701/http://www.lifesciencessociety.org/CSB2006/Papers/064_Huttenhower.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/ca/31caa95205b08459084ad6f72009f54f928d67f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/1860947573_0044"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

BAYESIAN DATA INTEGRATION: A FUNCTIONAL PERSPECTIVE

Curtis Huttenhower, Olga G. Troyanskaya
<span title="">2006</span> <i title="PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO."> Computational Systems Bioinformatics </i> &nbsp;
This study considers the effect of network structure and compares expert estimated conditional probabilities with those learned using a generative method (expectation maximization) and a discriminative  ...  We focus on the ability of Bayesian networks to predict functional relationships between proteins under a variety of conditions.  ...  taking advantage of additional network parameters; a naive Bayesian assumption limits both the complexity and the representational power of the network 17 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/9781860947575_0041">doi:10.1142/9781860947575_0041</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/geaxbam3b5cmxcngic3nzctjyq">fatcat:geaxbam3b5cmxcngic3nzctjyq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20061013052701/http://www.lifesciencessociety.org/CSB2006/Papers/064_Huttenhower.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/ca/31caa95205b08459084ad6f72009f54f928d67f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/9781860947575_0041"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

Modularity and Dynamics of Cellular Networks

Yuan Qi, Hui Ge
<span title="">2006</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ch57atmlprauhhbqdf7x4ytejm" style="color: black;">PLoS Computational Biology</a> </i> &nbsp;
For example, what are the characteristics of cellular network structures that distinguish them from randomly generated networks? Are the network structures relevant for biological functions?  ...  In this paper, we survey recent progress on addressing these questions and use mammalian cell signaling as case studies to discuss how computational analyses of networks shed light on specific biological  ...  Zhang for critical reading of the manuscript. We also thank two anonymous reviewers for their invaluable inputs. We thank T. S. Jaakkola and D. K. Gifford for their support. Author contributions. Y.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pcbi.0020174">doi:10.1371/journal.pcbi.0020174</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/17196032">pmid:17196032</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC1761653/">pmcid:PMC1761653</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lbh3p667kbhubegexlnfmglw24">fatcat:lbh3p667kbhubegexlnfmglw24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171015125007/http://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.0020174&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/c0/77c021f5eb531087b75e0932c403b29815976493.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pcbi.0020174"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761653" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Databases and tools for constructing signal transduction networks in cancer

Seungyoon Nam
<span title="2017-01-31">2017</span> <i title="Korean Society for Biochemistry and Molecular Biology - BMB Reports"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/k2dhmjjc5ffvbbvzs2zzcdrbce" style="color: black;">BMB Reports</a> </i> &nbsp;
One of the representative applications of systems biology is to generate a biological network from high-throughput big data, providing a global map of molecular events associated with specific phenotype  ...  Such challenges urge biologists to inspect their biological entities of interest using novel approaches, firstly including repository data retrieval.  ...  Salzman P and Almudevar A (2006) Using complexity for the estimation of Bayesian networks. Stat Appl Genet Mol Biol 5, Article21 51.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5483/bmbrep.2017.50.1.135">doi:10.5483/bmbrep.2017.50.1.135</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27502015">pmid:27502015</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5319659/">pmcid:PMC5319659</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pwjpj6my6bblzj6lcu4urbxxkm">fatcat:pwjpj6my6bblzj6lcu4urbxxkm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724164134/http://www.ndsl.kr/soc_img/society/ksbmb/E1MBB7/2017/v50n1/E1MBB7_2017_v50n1_12.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/a6/dfa68fd4793fcc8bb436153824d8075cfca414f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5483/bmbrep.2017.50.1.135"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319659" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Computational dynamic approaches for temporal omics data with applications to systems medicine

Yulan Liang, Arpad Kelemen
<span title="2017-06-17">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ormhpxv5gvemfj2eljfl5fxnzm" style="color: black;">BioData Mining</a> </i> &nbsp;
Temporal omics data used to measure the dynamic biological systems are essentials to discover complex biological interactions and clinical mechanism and causations.  ...  Modeling and predicting biological dynamic systems and simultaneously estimating the kinetic structural and functional parameters are extremely important in systems and computational biology.  ...  Availability of data and materials Data sharing not applicable to this article as no datasets were generated or analysed during the current study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13040-017-0140-x">doi:10.1186/s13040-017-0140-x</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28638442">pmid:28638442</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5473988/">pmcid:PMC5473988</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rscvtjlpgrf53fbwlt6t4i22em">fatcat:rscvtjlpgrf53fbwlt6t4i22em</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721164800/https://biodatamining.biomedcentral.com/track/pdf/10.1186/s13040-017-0140-x?site=biodatamining.biomedcentral.com" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/70/1e/701ec22d329a2a0284f3738e979836b61a367ed9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13040-017-0140-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473988" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Network Biology in Medicine and Beyond

B. Zhang, Y. Tian, Z. Zhang
<span title="2014-08-01">2014</span> <i title="Ovid Technologies (Wolters Kluwer Health)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jp4g3aaxsvhyfje2ubfvxttz24" style="color: black;">Circulation: Cardiovascular Genetics</a> </i> &nbsp;
Biological networks are useful representations to visualize and understand the functions and interactions of biomolecules.  ...  Biological networks reveal high-level relationships, enrichment patterns, and system-wide properties, which are lacking in univariate analyses.  ...  Sources of Funding Disclosures None.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1161/circgenetics.113.000123">doi:10.1161/circgenetics.113.000123</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25140061">pmid:25140061</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4333150/">pmcid:PMC4333150</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bobjv3d5xzcttgtvng5vcf7x2a">fatcat:bobjv3d5xzcttgtvng5vcf7x2a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721054407/http://circgenetics.ahajournals.org/content/circcvg/7/4/536.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/17/ed/17edc6a1b0fd2b5bff447c98ace1e4dc4448fb31.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1161/circgenetics.113.000123"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333150" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A survey of models for inference of gene regulatory networks

Blagoj Ristevski
<span title="2013-10-25">2013</span> <i title="Vilnius University Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sao6wish4jhpfmxly64sokfzam" style="color: black;">Nonlinear Analysis: Modelling and Control</a> </i> &nbsp;
The most commonly used GRNs models based on Boolean networks, Bayesian networks, relevance networks, differential and difference equations are described.  ...  In this article, I present the biological backgrounds of microarray, ChIP-chip and ChIPSeq technologies and the application of computational methods in reverse engineering of gene regulatory networks (  ...  This method uses parallel processing and multiprocessor system to speed up the structural learning of Bayesian networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15388/na.18.4.13972">doi:10.15388/na.18.4.13972</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2jil4fn4svfjpfnbk7f3uzkmoq">fatcat:2jil4fn4svfjpfnbk7f3uzkmoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210015100/https://www.journals.vu.lt/nonlinear-analysis/article/download/13972/12891" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/6c/c06ca5873a5dabf249a8d6fb74375f0f11db7865.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15388/na.18.4.13972"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Page 1050 of Genetics Vol. 166, Issue 2 [page]

<span title="">2004</span> <i title="Genetics Society of America"> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_genetics" style="color: black;">Genetics </a> </i> &nbsp;
the behavior of biological systems.  ...  complex biological systems, particu- larly when advances in experimental technologies are made and the precision of experimental data is im- proved.  ... 
<span class="external-identifiers"> </span>
<a target="_blank" rel="noopener" href="https://archive.org/details/sim_genetics_2004-02_166_2/page/1050" title="read fulltext microfilm" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Archive [Microfilm] <div class="menu fulltext-thumbnail"> <img src="https://archive.org/serve/sim_genetics_2004-02_166_2/__ia_thumb.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Editorial: Experiments and Simulations: A Pas de Deux to Unravel Biological Function

Maya Topf, Edina Rosta, Gregory R. Bowman, Massimiliano Bonomi
<span title="2021-11-29">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zqzewb742bdglfxhkef3ke6cla" style="color: black;">Frontiers in Molecular Biosciences</a> </i> &nbsp;
used as well as by the challenge of exhaustively sampling the conformational landscape of complex systems (Bonomi et al., 2017) .  ...  ultimately function of biological systems.  ...  of the effect of mutations on the structure and dynamics of biological systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fmolb.2021.799406">doi:10.3389/fmolb.2021.799406</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34912853">pmid:34912853</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8667856/">pmcid:PMC8667856</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oego45dcbbalfpzej6bzppqiwy">fatcat:oego45dcbbalfpzej6bzppqiwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220426084318/https://fjfsdata01prod.blob.core.windows.net/articles/files/799406/pubmed-zip/.versions/2/.package-entries/fmolb-08-799406-r1/fmolb-08-799406.pdf?sv=2018-03-28&amp;sr=b&amp;sig=4FwTfwd8mvCVTKxGpd54EkRbnHguL8YuHdHljkQRRVs%3D&amp;se=2022-04-26T08%3A43%3A44Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fmolb-08-799406.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/0e/1c0e5b13a71e55f1525d94ba971aad15122c93bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fmolb.2021.799406"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667856" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Data Mining in the Molecular Biology Era — A Study Directed to Carbohydrates Biosynthesis and Accumulation in Plants [chapter]

Renato Vicentini, Marcelo Menossi
<span title="2009-01-01">2009</span> <i title="I-Tech Education and Publishing"> Data Mining and Knowledge Discovery in Real Life Applications </i> &nbsp;
Under this framework and the assumption of parameter independence, an initial Bayesian network structure is learned from the training data and a user specified prior network.  ...  The analysis of biological systems requires extensive use of bioinformatics resources for data management, mining, and modeling.  ...  applications of data mining in different promising areas like Industrialist, Biological, and Social.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/6456">doi:10.5772/6456</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/72r6gtyfhjacbbaootuzl2bzee">fatcat:72r6gtyfhjacbbaootuzl2bzee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190227004609/http://pdfs.semanticscholar.org/87a4/3bc06d75f7a4c04cd3bdfa449f403aacb9a4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/87/a4/87a43bc06d75f7a4c04cd3bdfa449f403aacb9a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/6456"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 27,950 results