Using support vector machines to identify protein phosphorylation sites in viruses.
about
iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.
P2860
Using support vector machines to identify protein phosphorylation sites in viruses.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Using support vector machines to identify protein phosphorylation sites in viruses.
@en
type
label
Using support vector machines to identify protein phosphorylation sites in viruses.
@en
prefLabel
Using support vector machines to identify protein phosphorylation sites in viruses.
@en
P1476
Using support vector machines to identify protein phosphorylation sites in viruses.
@en
P2093
Ming-Chu Liu
Shu-Yun Huang
P356
10.1016/J.JMGM.2014.12.005
P577
2014-12-24T00:00:00Z