MCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data.
about
Identifying network biomarkers based on protein-protein interactions and expression data.Unravelling personalized dysfunctional gene network of complex diseases based on differential network modelIdentifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers.Dysfunction of PLA2G6 and CYP2C44-associated network signals imminent carcinogenesis from chronic inflammation to hepatocellular carcinoma.Computer-aided biomarker discovery for precision medicine: data resources, models and applications.Interactions Between Genetics, Lifestyle, and Environmental Factors for Healthcare.
P2860
MCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
name
MCentridFS: a tool for identif ...... pes from high-throughput data.
@ast
MCentridFS: a tool for identif ...... pes from high-throughput data.
@en
type
label
MCentridFS: a tool for identif ...... pes from high-throughput data.
@ast
MCentridFS: a tool for identif ...... pes from high-throughput data.
@en
prefLabel
MCentridFS: a tool for identif ...... pes from high-throughput data.
@ast
MCentridFS: a tool for identif ...... pes from high-throughput data.
@en
P2093
P2860
P356
P1433
P1476
MCentridFS: a tool for identif ...... pes from high-throughput data.
@en
P2093
Luonan Chen
Wanwei Zhang
Zhenshu Wen
P2860
P304
P356
10.1039/C4MB00325J
P577
2014-11-01T00:00:00Z