A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma.
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Extracellular Microbial Metabolomics: The State of the Art.A Computational Method of Defining Potential Biomarkers based on Differential Sub-Networks.How to model temporal changes in nontargeted metabolomics study? A Bayesian multilevel perspective.Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation.Elastic net regularized regression for time-series analysis of plasma metabolome stability under sub-optimal freezing condition.
P2860
A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma.
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2016 nî lūn-bûn
@nan
2016 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@ast
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@en
type
label
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@ast
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@en
prefLabel
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@ast
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@en
P2093
P2860
P356
P1433
P1476
A New Strategy for Analyzing T ...... s of Hepatocellular Carcinoma.
@en
P2093
Chunxiu Hu
Peiyuan Yin
Xiaohui Lin
P2860
P2888
P356
10.1038/SREP32448
P407
P50
P577
2016-08-31T00:00:00Z
P6179
1045381029