Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods
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Applying NGS Data to Find Evolutionary Network Biomarkers from the Early and Late Stages of Hepatocellular Carcinoma.Whole genome sequencing of matched tumor, adjacent non-tumor tissues and corresponding normal blood samples of hepatocellular carcinoma patients revealed dynamic changes of the mutations profiles during hepatocarcinogenesis.Derivative component analysis for mass spectral serum proteomic profiles.Identification and functional analysis of differentially expressed genes in poorly differentiated hepatocellular carcinoma using RNA-seq.Transcriptome profiling identifies a recurrent CRYL1-IFT88 chimeric transcript in hepatocellular carcinoma.
P2860
Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods
description
2013 nî lūn-bûn
@nan
2013 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Identification of biomarkers f ...... k-based bioinformatics methods
@ast
Identification of biomarkers f ...... k-based bioinformatics methods
@en
type
label
Identification of biomarkers f ...... k-based bioinformatics methods
@ast
Identification of biomarkers f ...... k-based bioinformatics methods
@en
prefLabel
Identification of biomarkers f ...... k-based bioinformatics methods
@ast
Identification of biomarkers f ...... k-based bioinformatics methods
@en
P2093
P2860
P356
P1476
Identification of biomarkers f ...... k-based bioinformatics methods
@en
P2093
Chunbao Zang
Lingyan Zhang
Qingjun Liu
Shaolin Li
P2860
P2888
P356
10.1186/2047-783X-18-35
P407
P577
2013-10-01T00:00:00Z
P6179
1041023925