A systems biology-based classifier for hepatocellular carcinoma diagnosis.
about
Biological Networks for Cancer Candidate Biomarkers DiscoveryAn integrative proteomics and interaction network-based classifier for prostate cancer diagnosisPathway and network approaches for identification of cancer signature markers from omics data.Applying NGS Data to Find Evolutionary Network Biomarkers from the Early and Late Stages of Hepatocellular Carcinoma.Functional and topological properties in hepatocellular carcinoma transcriptome.Identification of GRB2 and GAB1 coexpression as an unfavorable prognostic factor for hepatocellular carcinoma by a combination of expression profile and network analysis.Association of a polymorphism in PON-1 gene with steroid-induced osteonecrosis of femoral head in Chinese Han population.Differential combinatorial regulatory network analysis related to venous metastasis of hepatocellular carcinoma.Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining methodA review on the diagnosis and treatment of hepatocellular carcinoma with a focus on the role of Wnts and the dickkopf family of Wnt inhibitors.Using a systems-based approach to overcome reductionist strategies in the development of diagnostics.Biomarkers for hepatocellular carcinoma: diagnostic and therapeutic utility.Identification of AKT kinases as unfavorable prognostic factors for hepatocellular carcinoma by a combination of expression profile, interaction network analysis and clinical validation.LiverAtlas: a unique integrated knowledge database for systems-level research of liver and hepatic disease.Hepatocellular carcinoma: a systems biology perspective.In silico, in vitro and in vivo analysis identifies a potential role for steroid hormone regulation of FOXD3 in endometriosis-associated genes.Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era.A review of computational approaches for analysis of hepatitis C virus-mediated liver diseases.A novel gene-expression-signature-based model for prediction of response to Tripterysium glycosides tablet for rheumatoid arthritis patients.
P2860
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P2860
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@ast
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@en
type
label
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@ast
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@en
prefLabel
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@ast
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@en
P2093
P2860
P1433
P1476
A systems biology-based classifier for hepatocellular carcinoma diagnosis.
@en
P2093
Dianhua Gu
Jiyang Zhnag
Shaochuang Wang
Yanqiong Zhang
Yunping Zhu
P2860
P304
P356
10.1371/JOURNAL.PONE.0022426
P407
P577
2011-07-28T00:00:00Z