Integrative analysis of layers of data in hepatocellular carcinoma reveals pathway dependencies

doi:10.4254/wjh.v13.i1.94

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World Journal of Hepatology

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1948-5182

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Hepatol. Jan 27, 2021; 13(1): 94-108
Published online Jan 27, 2021. doi: 10.4254/wjh.v13.i1.94

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Figure 1 Flow chart showing the paper selection process and exclusion criteria for each data type: Gene expression, proteomics, whole exome sequencing, microRNAs and methylation.

Citation: Bhat M, Pasini E, Pastrello C, Rahmati S, Angeli M, Kotlyar M, Ghanekar A, Jurisica I. Integrative analysis of layers of data in hepatocellular carcinoma reveals pathway dependencies. World J Hepatol 2021; 13(1): 94-108
URL: https://www.wjgnet.com/1948-5182/full/v13/i1/94.htm
DOI: https://dx.doi.org/10.4254/wjh.v13.i1.94

Bhat M, Pasini E, Pastrello C, Rahmati S, Angeli M, Kotlyar M, Ghanekar A, Jurisica I. Integrative analysis of layers of data in hepatocellular carcinoma reveals pathway dependencies. World J Hepatol 2021; 13(1): 94-108 [PMID: 33584989 DOI: 10.4254/wjh.v13.i1.94]

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