Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models
about
Determining effects of non-synonymous SNPs on protein-protein interactions using supervised and semi-supervised learning.Protein localization prediction using random walks on graphs.Essential proteins and possible therapeutic targets of Wolbachia endosymbiont and development of FiloBase--a comprehensive drug target database for Lymphatic filariasis.
P2860
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models
description
2010 nî lūn-bûn
@nan
2010 թուականին հրատարակուած գիտական յօդուած
@hyw
2010 թվականին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Semi-supervised prediction of ...... action augmented Markov models
@ast
Semi-supervised prediction of ...... action augmented Markov models
@en
type
label
Semi-supervised prediction of ...... action augmented Markov models
@ast
Semi-supervised prediction of ...... action augmented Markov models
@en
prefLabel
Semi-supervised prediction of ...... action augmented Markov models
@ast
Semi-supervised prediction of ...... action augmented Markov models
@en
P2093
P2860
P1433
P1476
Semi-supervised prediction of ...... action augmented Markov models
@en
P2093
Adrian Silvescu
Cornelia Caragea
Doina Caragea
P2860
P2888
P356
10.1186/1471-2105-11-S8-S6
P433
P577
2010-01-01T00:00:00Z
P6179
1040866305