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Page 188 of American Scientist Vol. 29, Issue 3-4
[page]
1941
American Scientist
Permanent vital sequences incorporated in all « in which the main types of biological determinism have be severally and concretely. ...
As regards symb« does not always enslave, but it invariably redirects, limit mines human behavior. ...
Efficient mining gapped sequential patterns for motifs in biological sequences
2013
BMC Systems Biology
In the experimental results, DFSG mines biological sequences much faster than GenPrefixSpan. ...
Pattern mining for biological sequences is an important problem in bioinformatics and computational biology. ...
Some important research directions for data mining in bioinformatics are discovery of co-occurring biological sequences, effectively classifying biological sequences, and clustering biological sequences ...
doi:10.1186/1752-0509-7-s4-s7
pmid:24565366
pmcid:PMC3854651
fatcat:piag3qx4jvbkfcfpk7nerptx6q
Storing, linking, and mining microarray databases using SRS
2005
BMC Bioinformatics
SRS (Sequence Retrieval System) has proven to be a valuable platform for storing, linking, and querying biological databases. ...
Due to the availability of a broad range of different scientific databases in SRS, it has become a useful platform to incorporate and mine microarray data to facilitate the analyses of biological questions ...
Invariable links based on DNA sequence assignments such as GenBank and ProbeSet identifiers (IDs) are therefore more appropriate linking indexes. ...
doi:10.1186/1471-2105-6-192
pmid:16048644
pmcid:PMC1187877
fatcat:aqreiqvqfnfqxesmvxlx472asq
Page 524 of American Journal of Sociology Vol. 44, Issue 4
[page]
1941
American Journal of Sociology
Since, however, the biological activities are in one way determinants of culture, and since, in turn, every culture redefines, overdeter- mines and transmutes many of these biological activities, the actual ...
We shall have briefly to define in what sense cer- tain phases of human behavior are biological invariants and then apply our analysis to aggression and pugnacity. ...
Mining useful patterns
2010
Proceedings of the ACM SIGKDD Workshop on Useful Patterns - UP '10
Constraint-Based Frequent Pattern Mining Pattern space pruning vs. data space pruning in pattern-mining Pattern space pruning: Anti-monotonic: If constraint c is violated, its further mining can be terminated ...
m~m
Σ
Null-(transaction) invariance is crucial for correlation analysis
Lift and χ 2 are not null-invariant
5 null-invariant measures
Null-transactions
w.r.t. m and c
Null-invariant
Subtle: ...
Mining tough patterns in new applications Biological sequence (DNA, proteins) mining Exploring the power of patterns and pattern mining in general data mining framework Pattern-based classification, clustering ...
doi:10.1145/1816112.1816113
fatcat:frwef6mttzbsfb672y2wj7dbpi
Network reconstruction from dynamic data
2006
SIGKDD Explorations
The goals of the workshop were to critically evaluate the need in this area by bringing together leading researchers from industry and academia, and to identify promising technologies and methodologies ...
The time is now fertile for addressing problems of larger scope under the purview of temporal data mining. ...
Mishra described GOALIE (Gene-Ontology for Algorithmic Logic and Invariant Extractor), a novel computational approach and software system that uncovers formal temporal logic models of biological processes ...
doi:10.1145/1233321.1233335
fatcat:n6fkehevtvg4hfjwkcmadb7dee
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA
2020
Symmetry
At the same time, the frequent patterns of biological sequences explain not only the genetic characteristics of the organism, but they also serve as relevant markers for certain events of biological sequences ...
Several experiments were conducted in order to verify the effectiveness of this algorithm. ...
Abbreviations The following abbreviations are used in this manuscript:
PSPs Positive Sequential Patterns NSPs Negative Sequential Patterns NSC (Negative Sequential Candidate) ...
doi:10.3390/sym12122090
fatcat:5rffspujyfdzvp2k2wpx2bwu7m
The predictive power of the CluSTr database
2005
Bioinformatics
In order to compute the matrix, first all-against-all pair-wise comparisons between protein sequences are computed using the Smith-Waterman algorithm. ...
This paper describes automated annotation experiments that quantify the predictive power and hence the biological relevance of the CluSTr data. ...
Only if the clusters are classifications of biological relevance is it possible to mine for the common annotation and achieve sensible results. ...
doi:10.1093/bioinformatics/bti542
pmid:15961444
fatcat:ghype3sdhvfkll4o2xmzvqdda4
Clustering Protein Sequences With Tailored General Regression Model Technique
2008
Zenodo
Clustering of protein sequences is one of the current research topics in the field of computer science. ...
Analysis of biological data is creating a new generation of epidemiologic, prognostic, diagnostic and treatment modalities. ...
are applied in pattern classification schemes, bioinformatics, data mining, web mining, biometrics, document processing, remote sensed data analysis, biomedical data analysis etc., in which data size is ...
doi:10.5281/zenodo.1075565
fatcat:j55ostkitjbdbnc4zrg2xylayi
Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder
2020
Entropy
Biological recognition methods often use biological characteristics such as the human face, iris, fingerprint, and palm print; however, such images often become blurred under the limitation of the complex ...
The auxiliary stream network based on SCAE is used to learn the similarity of static invariant features containing physiological information. ...
16 of 17 mine. The gait recognition of underground coal mine personnel needs to recognize the identity of the underground coal mine in real time, and the model recognition speed must be fast. ...
doi:10.3390/e22060695
pmid:33286467
pmcid:PMC7517229
fatcat:zbspx734ljfjrhwusot3qlty54
LONETSSOM Platform: Enabling Distributed Processing, Managing and Mining of Biological Data through Fusion of Logical Network and Web Technologies in NETWORK Infrastructure
2012
International Journal of Computer Applications
The accurate computation of conventional methods have not relied in the revolutionary period of changes and cannot make reshaping in the biological research as the meta-mining was used for integration ...
General Terms Biological data knowledge mining, distributed computing, network, translational biomedical research, web services. ...
We wish to express my profound thanks to all those who helped in making this Journal a reality. Much needed moral support and encouragement is provided on numerous occasions by our whole family. ...
doi:10.5120/4793-7042
fatcat:rtablnccp5fq7o2hxzkebf3vsi
Automated Structure–Activity Relationship Mining
2014
Journal of Biomolecular Screening
The rules connect chemical structural features of compounds to patterns in their biological activity profiles. ...
In this article, we present a versatile computational method that automatically extracts interpretable SAR rules from high-dimensional profiling data. ...
Acknowledgements Cheminformatics and data-mining work was supported by National Institute of General ...
doi:10.1177/1087057114530783
pmid:24710340
pmcid:PMC5554950
fatcat:j7oizjheqbdrhfvdejzaz4afte
Prediction of Protein–Protein Interactions by Evidence Combining Methods
2016
International Journal of Molecular Sciences
topology and text mining. ...
In this review, we shed light on in silico PPI prediction methods that integrate evidence from multiple sources, including evolutionary relationship, function annotation, sequence/structure features, network ...
In addition, there are some TM-based methods/tools that provide multiple-perspective evidence for PPI extraction, such as BioRAT (Biological Research Assistant for Text mining) [89] , eFIP (Extracting ...
doi:10.3390/ijms17111946
pmid:27879651
pmcid:PMC5133940
fatcat:kttovj6jsnhhhenyjmksj6wffa
TomExpress, a unified tomato RNA-Seq platform for visualization of expression data, clustering and correlation networks
2017
The Plant Journal
To avoid major biases that can result from the use of different mapping and statistical processing methods, RNA-Seq raw sequence data available in public databases were mapped de novo on a unique tomato ...
reference genome sequence and post-processed using the same pipeline with accurate parameters. ...
It is widely accepted that the expression of these genes is invariant in different plant tissues or organs. ...
doi:10.1111/tpj.13711
pmid:28873253
fatcat:zxpcuowtzncrpe55uy7md47zbq
WormBase 2014: new views of curated biology
2013
Nucleic Acids Research
We have expanded the options for data mining in two significant ways. ...
Its small size (1 mm), rapid generation time (3 days), simple nervous system and invariant developmental program have made it a well-known system for studying a broad array of biological problems [(1,2 ...
doi:10.1093/nar/gkt1063
pmid:24194605
pmcid:PMC3965043
fatcat:lh2mkgbydvfwrdngdv7nz3icme
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