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» Fast Motif Selection for Biological Sequences
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BMCBI
2007
112views more  BMCBI 2007»
15 years 1 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
ICDE
2010
IEEE
750views Database» more  ICDE 2010»
15 years 6 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
ISMB
1997
15 years 3 months ago
Enumerating and Ranking Discrete Motifs
Discrete motifsthat discriminate functionalclasses of proteins are useful for classifying newsequences, capturingstructural constraints, andidentifyingprotein subclasses.Despiteth...
Craig G. Nevill-Manning, Komal S. Sethi, Thomas D....
ICASSP
2007
IEEE
15 years 8 months ago
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters
Recently, profile context-sensitive HMMs (profile-csHMMs) have been proposed which are very effective in modeling the common patterns and motifs in related symbol sequences. Pro...
Byung-Jun Yoon, P. P. Vaidyanathan
FUIN
2010
268views more  FUIN 2010»
14 years 8 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...