High-accuracy splice site prediction based on sequence component and position features

Genetics and Molecular Research

Volumn 11, Issue 3, 2012, Pages 3431-3451

  Li, J L ^a   Wang, L F ^a   Wang, H Y ^b   Bai, L Y ^a   Yuan, Z M ^a  

^a HUNAN AGRICULTURAL UNIVERSITY   (China)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

Adjacent position relationship features; Multi scale component features; Position features; Splice site prediction; Support vector machine

Indexed keywords

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; EXON; GENE SEQUENCE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NUCLEOTIDE MOTIF; PREDICTION; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; REGULATORY SEQUENCE; RNA SPLICING; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; BIOLOGY; CHI SQUARE DISTRIBUTION; GENETICS; HUMAN; METHODOLOGY; NUCLEIC ACID DATABASE; NUCLEOTIDE SEQUENCE; RECEIVER OPERATING CHARACTERISTIC;

BASE SEQUENCE; CHI-SQUARE DISTRIBUTION; COMPUTATIONAL BIOLOGY; DATABASES, NUCLEIC ACID; HUMANS; RNA SPLICE SITES; ROC CURVE; SUPPORT VECTOR MACHINES;

EID: 84930479414     PISSN: None     EISSN: 16765680     Source Type: Journal    
DOI: 10.4238/2012.September.25.12     Document Type: Article

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