TY - GEN
T1 - A comparative study on feature selection in regression for predicting the affinity of TAP binding peptides
AU - Li, Xue Ling
AU - Wang, Shu Lin
PY - 2010
Y1 - 2010
N2 - In this study, we compare six feature selection methods, i.e. five feature selection methods for k Nearest Neighborhood regression (kNNReg) and a rough set model based forward feature selection (FARNeM) for Support Vector Regression (SVR) for predicting the affinity of TAP binding peptides. The peptides were represented with binary, sequence associated amino acid properties, and binary plus properties of amino acids derived vectors, respectively. The weighted peptide features are input to the regression model and ranked according to the corresponding weights or the occurrence frequency, respectively. We find that SVR model performs better than kNNReg model for the prediction of the affinity of TAP transporter binding peptides.
AB - In this study, we compare six feature selection methods, i.e. five feature selection methods for k Nearest Neighborhood regression (kNNReg) and a rough set model based forward feature selection (FARNeM) for Support Vector Regression (SVR) for predicting the affinity of TAP binding peptides. The peptides were represented with binary, sequence associated amino acid properties, and binary plus properties of amino acids derived vectors, respectively. The weighted peptide features are input to the regression model and ranked according to the corresponding weights or the occurrence frequency, respectively. We find that SVR model performs better than kNNReg model for the prediction of the affinity of TAP transporter binding peptides.
KW - Transporter associated with antigen processing
KW - feature selection
KW - k-nearest neighborhood regression
KW - neighborhood rough set model
KW - peptides
KW - support vector regression
UR - http://www.scopus.com/inward/record.url?scp=77956165779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956165779&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14932-0_9
DO - 10.1007/978-3-642-14932-0_9
M3 - Conference contribution
AN - SCOPUS:77956165779
SN - 3642149316
SN - 9783642149313
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 69
EP - 75
BT - Advanced Intelligent Computing Theories and Applications
A2 - Huang, De-Shuang
A2 - Zhang, Xiang
T2 - 6th International Conference on Intelligent Computing, ICIC 2010
Y2 - 18 August 2010 through 21 August 2010
ER -