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Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models.
Liu W, Meng X, Xu Q, Flower DR, Li T
BMC Bioinformatics
2006,
7
:182
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BioMed Central articles that cite the above article:
1.
Methodology article
Sequence based residue depth prediction using evolutionary information and predicted secondary structure
Zhang H, Zhang T, Chen K, Shen S, Ruan J, Kurgan L
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Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
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SVRMHC prediction server for MHC-binding peptides
Wan J, Liu W, Xu Q, Ren Y, Flower DR, Li T
BMC Bioinformatics
2006,
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(23 October 2006)
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Predicting residue-wise contact orders in proteins by support vector regression
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(3 October 2006)
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