Prediction of supertype-specific HLA class I binding peptides using support vector machines.
about
Machine Learning Methods for Predicting HLA-Peptide Binding ActivityOn Evaluating MHC-II Binding Peptide Prediction MethodsBig data analytics in immunology: a knowledge-based approach.A statistical framework for modeling HLA-dependent T cell response data.Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes.Evaluation of MHC class I peptide binding prediction servers: applications for vaccine researchEvaluation of MHC-II peptide binding prediction servers: applications for vaccine research.Predicting HLA class I non-permissive amino acid residues substitutions.Therapeutic Vaccine Strategies against Human Papillomavirus.Major histocompatibility complex class I binding predictions as a tool in epitope discovery.MULTIPRED2: a computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles.Machine learning study for the prediction of transdermal peptide.
P2860
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P2860
Prediction of supertype-specific HLA class I binding peptides using support vector machines.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Prediction of supertype-specif ...... using support vector machines.
@en
type
label
Prediction of supertype-specif ...... using support vector machines.
@en
prefLabel
Prediction of supertype-specif ...... using support vector machines.
@en
P2093
P2860
P1476
Prediction of supertype-specif ...... using support vector machines.
@en
P2093
Chee Keong Kwoh
Guang Lan Zhang
Ivana Bozic
J Thomas August
P2860
P304
P356
10.1016/J.JIM.2006.12.011
P577
2007-01-25T00:00:00Z