A comparative study on feature selection in regression for predicting the affinity of TAP binding peptides

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6216 LNAI, Issue , 2010, Pages 69-75

  Li, Xue Ling ^a   Wang, Shu Lin ^a,b  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b HUNAN UNIVERSITY   (China)

Author keywords

feature selection; k nearest neighborhood regression; neighborhood rough set model; peptides; support vector regression; Transporter associated with antigen processing

Indexed keywords

FEATURE SELECTION; K-NEAREST NEIGHBORHOODS; ROUGH SET MODELS; SUPPORT VECTOR REGRESSION; TRANSPORTER ASSOCIATED WITH ANTIGEN PROCESSING;

AMINO ACIDS; ANTIGENS; COMPUTATION THEORY; FORECASTING; INTELLIGENT COMPUTING; ORGANIC ACIDS; PEPTIDES; REGRESSION ANALYSIS; ROUGH SET THEORY; VECTORS;

FEATURE EXTRACTION;

EID: 77956165779     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14932-0_9     Document Type: Conference Paper

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