Gene network analysis reveals a novel 22-gene signature of carbon metabolism in hepatocellular carcinoma.
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Weighted gene co-expression network analysis of gene modules for the prognosis of esophageal cancer.Identification of two novel biomarkers of rectal carcinoma progression and prognosis via co-expression network analysis.Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI.Co-expression analysis revealed PTCH1-3'UTR promoted cell migration and invasion by activating miR-101-3p/SLC39A6 axis in non-small cell lung cancer: implicating the novel function of PTCH1.A network-based signature to predict the survival of non-smoking lung adenocarcinoma
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Gene network analysis reveals a novel 22-gene signature of carbon metabolism in hepatocellular carcinoma.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 23 June 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Gene network analysis reveals ...... m in hepatocellular carcinoma.
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Gene network analysis reveals ...... m in hepatocellular carcinoma.
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type
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Gene network analysis reveals ...... m in hepatocellular carcinoma.
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Gene network analysis reveals ...... m in hepatocellular carcinoma.
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Gene network analysis reveals ...... m in hepatocellular carcinoma.
@en
Gene network analysis reveals ...... m in hepatocellular carcinoma.
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Gene network analysis reveals ...... m in hepatocellular carcinoma.
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Jennifer Cvitanovic
Jinqiang Zhang
Krzysztof Moroz
Melody Baddoo
Michael J Strong
Srikanta Dash
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P304
49232-49245
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10.18632/ONCOTARGET.10249
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P577
2016-06-23T00:00:00Z