Predicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors.
about
Features analysis for identification of date and party hubs in protein interaction network of Saccharomyces Cerevisiae.Predicting the binding patterns of hub proteins: a study using yeast protein interaction networksA systems biology approach to the analysis of subset-specific responses to lipopolysaccharide in dendritic cells.Analysis of protein targets in pathogen-host interaction in infectious diseases: a case study on Plasmodium falciparum and Homo sapiens interaction network.
P2860
Predicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors.
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Predicting highly-connected hu ...... d biological data descriptors.
@ast
Predicting highly-connected hu ...... d biological data descriptors.
@en
Predicting highly-connected hu ...... d biological data descriptors.
@nl
type
label
Predicting highly-connected hu ...... d biological data descriptors.
@ast
Predicting highly-connected hu ...... d biological data descriptors.
@en
Predicting highly-connected hu ...... d biological data descriptors.
@nl
prefLabel
Predicting highly-connected hu ...... d biological data descriptors.
@ast
Predicting highly-connected hu ...... d biological data descriptors.
@en
Predicting highly-connected hu ...... d biological data descriptors.
@nl
P2093
P2860
P356
P1433
P1476
Predicting highly-connected hu ...... d biological data descriptors.
@en
P2093
Artem Cherkasov
Kendall Byler
Michael Hsing
P2860
P304
P356
10.6026/97320630004164
P577
2009-10-15T00:00:00Z