Open AccessCascade detection for the extraction of localized sequence features; specificity results for HIV-1 protease and structure–function results for the Schellman loop
Author(s) -
Nicholas E. Newell
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr594
Subject(s) - cascade , computer science , computational biology , algorithm , biological system , artificial intelligence , pattern recognition (psychology) , data mining , biology , chemistry , chromatography
The extraction of the set of features most relevant to function from classified biological sequence sets is still a challenging problem. A central issue is the determination of expected counts for higher order features so that artifact features may be screened.
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