Protein subcellular localization prediction using multiple kernel learning based support vector machine.
about
Protein Subcellular Localization with Gaussian Kernel Discriminant Analysis and Its Kernel Parameter Selection.iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.ksrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm.Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction.Consistent prediction of GO protein localization.
P2860
Protein subcellular localization prediction using multiple kernel learning based support vector machine.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Protein subcellular localizati ...... based support vector machine.
@en
type
label
Protein subcellular localizati ...... based support vector machine.
@en
prefLabel
Protein subcellular localizati ...... based support vector machine.
@en
P2860
P356
P1433
P1476
Protein subcellular localizati ...... g based support vector machine
@en
P2093
Md Khademul Islam Molla
Shamim Ahmad
P2860
P304
P356
10.1039/C6MB00860G
P577
2017-03-01T00:00:00Z