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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. ...
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
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
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. ...
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
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
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
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 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
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
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
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
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)  , eFIP (Extracting ...doi:10.3390/ijms17111946 pmid:27879651 pmcid:PMC5133940 fatcat:kttovj6jsnhhhenyjmksj6wffa
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
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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