Filters








611 Hits in 6.8 sec

Mining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming [chapter]

Tao Zeng, Changjie Tang, Yintian Liu, Jiangtao Qiu, Mingfang Zhu, Shucheng Dai, Yong Xiang
2006 Lecture Notes in Computer Science  
the h-DESAR mining method based on Immune-based Gene Expression Programming (ERIG); (3) presenting some novel key techniques in ERIG.  ...  To address it, the main contributions of this paper included: (1) proposing formal concepts on h-Dimensional Enhanced Semantic Association Rule (h-DESAR) with selfcontained logic operator; (2) proposing  ...  Algorithm 1 . 1 (ERIG) The h-Dimensional Enhanced Semantic Association Rule mining based on Immune-based Gene Expression Programming.  ... 
doi:10.1007/11906070_5 fatcat:7edoouh5uffdldp4hxljtp67ri

Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection

V.K. Karakasis, A. Stafylopatis
2008 IEEE Transactions on Evolutionary Computation  
, evolutionary technique, Gene Expression Programming (GEP).  ...  On the other hand, Gene Expression Programming is the descendant of Genetic Algorithms and Genetic Programming and eliminates their main disadvantages, such as the genotype-phenotype coincidence, though  ...  The above enhanced clonal selection algorithm is coupled with a relatively new evolutionary technique, Gene Expression Programming (GEP), and used to mine classification rules in data.  ... 
doi:10.1109/tevc.2008.920673 fatcat:ibj5mw3okfhsrj2vybytzekhra

Integrative disease classification based on cross-platform microarray data

Chun-Chi Liu, Jianjun Hu, Mrinal Kalakrishnan, Haiyan Huang, Xianghong Zhou
2009 BMC Bioinformatics  
Crossplatform data compatibility is created by deriving expression log-rank ratios within datasets. One may then compare vectors of log-rank ratios across datasets.  ...  This issue has severely limited the practical use of microarray-based disease classification.  ...  For each gene, we calculate the average expression level for probe sets associated to this gene.  ... 
doi:10.1186/1471-2105-10-s1-s25 pmid:19208125 pmcid:PMC2648756 fatcat:romlcxl7xzgt3jdtzww5ks5tte

Data driven linear algebraic methods for analysis of molecular pathways: Application to disease progression in shock/trauma

Mary F. McGuire, M. Sriram Iyengar, David W. Mercer
2012 Journal of Biomedical Informatics  
Since its first publication in 2003, the Gene Set Enrichment Analysis (GSEA) method, based on the Kolmogorov-Smirnov statistic, has been heavily used, modified, and also questioned.  ...  Recently a simplified approach, using a one sample t test score to assess enrichment and ignoring gene-gene correlations was proposed by Irizarry et al. 2009 as a serious contender.  ...  Statistical biomedical informatics methods, such as gene set enrichment analysis (GSEA), identify gene sets, based on gene expression data, that are correlated with phenotypic classes, and generate hypotheses  ... 
doi:10.1016/j.jbi.2011.12.002 pmid:22200681 pmcid:PMC3346262 fatcat:nloilc3yfnhopfsvkkrc2btbyq

HPC and Grid Computing for Integrative Biomedical Research

Tahsin Kurc, Shannon Hastings, Vijay Kumar, Stephen Langella, Ashish Sharma, Tony Pan, Scott Oster, David Ervin, Justin Permar, Sivaramakrishnan Narayanan, Yolanda Gil, Ewa Deelman (+4 others)
2009 The international journal of high performance computing applications  
With the increasing availability of high-throughput and high-resolution instruments, the integrative biomedical research imposes many challenging requirements on software middleware systems.  ...  Rule-based programming offers a convenient abstraction to link spatial and non-spatial information.  ...  Annotated image and molecular data form a multi-dimensional model of the TME represented in a semantic knowledge base.  ... 
doi:10.1177/1094342009106192 pmid:20107625 pmcid:PMC2811341 fatcat:5p26dv5uwnbqtjjhn3lnugmqly

Inference and differential analysis of Extended Core Networks: A way to study anti-sense regulation

Marc Legeay, Beatrice Duval, Jean-Pierre Renou
2016 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
Session Chair: Mingon Kang Filtering Association Rules in Gene Ontology Based on Term Specificity Yong Shui and Young-Rae Cho Integrative Gene Regulatory Network Inference Using Multi-omics Data  ...  Kai Tan Abstract: Determining the 3-dimensional structure of the genome and its impact on gene expression has been a long-standing question in cell biology.  ... 
doi:10.1109/bibm.2016.7822532 dblp:conf/bibm/LegeayDR16 fatcat:k33tacfd25flplfykeqfwkmzg4

Repurposing Zileuton as a Depression Drug Using an AI and In Vitro Approach

Norwin Kubick, Marta Pajares, Ioana Enache, Gina Manda, Michel-Edwar Mickael
2020 Molecules  
We employed a new strategy for drug repurposing based on the integration of RNA-seq analysis and text mining using deep neural networks.  ...  Depression is a significant type of mood disorder, where patients suffer from pathological disturbances associated with a proinflammatory M1 macrophage phenotype.  ...  Acknowledgments: We would like to acknowledge Macrious Abraham for his ideas and advice regarding the text mining part. This manuscript has been released as a Pre-Print at [85] .  ... 
doi:10.3390/molecules25092155 pmid:32380663 fatcat:nbo5dmfqgnanljacjfbcw3ti7q

Design and Analysis of Network Virus Defense System Based on Multimodal Data Mining Technology

Jinhuan Hou, Fuqiang Ding, Sheng Bin
2022 Scientific Programming  
This study analyzes and designs a network security management system based on the K-means algorithm.  ...  This study proposes a dual-network text matching model based on local interactive components.  ...  We make full use of location information and semantic information and propose a double network text matching model (DNTMM) based on local interactive components.  ... 
doi:10.1155/2022/8587906 fatcat:3q4niya66neonn4wxds5bnkjhm

Matrix Integrative Analysis (MIA) of Multiple Genomic Data for Modular Patterns

Jinyu Chen, Shihua Zhang
2018 Frontiers in Genetics  
This package can integrate diverse types of genomic data (e.g., copy number variation, DNA methylation, gene expression, microRNA expression profiles, and/or gene network data) to identify the underlying  ...  To this end, we present a MATLAB package, Matrix Integration Analysis (MIA), implementing and extending four published methods, designed based on two classical techniques, non-negative matrix factorization  ...  ACKNOWLEDGMENTS We appreciate Prof Xianghong Jasmine Zhou at University of California, Los Angeles for her generous help on the MIA package.  ... 
doi:10.3389/fgene.2018.00194 pmid:29910825 pmcid:PMC5992392 fatcat:h54jec3fofeh7fjxfzp6e6qz5u

A Multi-Facet Survey on Memetic Computation

Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan
2011 IEEE Transactions on Evolutionary Computation  
the memes. 2) Behavioral Rule: The behavioral rule specifies how an agent selects a meme from M(t) based on its payoff.  ...  It is suggestive of the fact that an agent will serve as a powerful embodiment of mechanisms associated with meme-gene coevolution.  ... 
doi:10.1109/tevc.2011.2132725 fatcat:dy4vpyft6rhdxb4dkt7iyaqvna

DATABASE DEVELOPMENT IN TOXICOGENOMICS: ISSUES AND EFFORTS

William B. Mattes, Syril D. Pettit, Susanna-Assunta Sansone, Pierre R. Bushel, Michael D. Waters
2004 Environmental Health Perspectives  
Toxicogenomics studies are generally built on standard toxicology studies generating biological end point data, and as such, one goal of toxicogenomics is to detect relationships between changes in gene  ...  As with the larger field of gene expression analysis, toxicogenomics faces the problems of probe annotation and data comparison across different array platforms.  ...  Because CEBS will contain data on global gene expression, protein expression, metabolite profiles, and associated chemical/stressor-induced effects in multiple species (e.g., from yeast to humans), it  ... 
doi:10.1289/txg.6697 fatcat:ppyxs2lpljel3hhtnrztipe7em

Database development in toxicogenomics: issues and efforts

William B Mattes, Syril D Pettit, Susanna-Assunta Sansone, Pierre R Bushel, Michael D Waters
2004 Environmental Health Perspectives  
Toxicogenomics studies are generally built on standard toxicology studies generating biological end point data, and as such, one goal of toxicogenomics is to detect relationships between changes in gene  ...  As with the larger field of gene expression analysis, toxicogenomics faces the problems of probe annotation and data comparison across different array platforms.  ...  Because CEBS will contain data on global gene expression, protein expression, metabolite profiles, and associated chemical/stressor-induced effects in multiple species (e.g., from yeast to humans), it  ... 
doi:10.1289/ehp.6697 pmid:15033600 pmcid:PMC1241904 fatcat:pyf67afwgbeynnwrg472tv2vxm

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals.  ...  A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution.  ...  on Semantic Networks 661, B.  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

EMBnet.journal 19 Suppl. B

EMBnet Journal
2013 EMBnet journal  
We believe that the adoption of the technologies presented here can benefits to the whole scientific community by improving the quality of web tools while diminishing the time spent on software development  ...  Parallel preprocessing of gene expression microarray data.  ...  Here we present an overview of some useful and easy to use tools and frameworks based on Java programming and provide as an example, a simple web interface 1 to browse annotations associated with cancer  ... 
doi:10.14806/ej.19.b.749 fatcat:h6kgq2g4ljbn7jrq6xpkbh2eie

A Review of Rule Learning Based Intrusion Detection Systems and Their Prospects in Smart Grids

Qi Liu, Veit Hagenmeyer, Hubert B. Keller
2021 IEEE Access  
H. GENETIC PROGRAMMING BASED IDS In [109] , Lu et al. investigate a genetic programming based approach to extract rules for attack detection.  ...  EPISODE MINING BASED IDS Both association rule mining and episode mining are used for intrusion detection in [113] [114] . Lee et al.  ... 
doi:10.1109/access.2021.3071263 fatcat:4knmfd4yezhabkbnsl5ahdt2bi
« Previous Showing results 1 — 15 out of 611 results