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Get Free AccessSummary Liver cancer is a highly heterogeneous disease in terms of etiology, tissue and cellular morphology, tumor molecular characteristics, microenvironment composition and prognosis. Several studies, based on tumor gene-expression profiling (GEP) data, have dissected the molecular heterogeneity of liver cancer. They resulted in various tools, either delineating homogeneous tumor subtypes or calculating molecular scores of prognostic or biological functions. Here, we present MS.liverK, an easy-to-use R package providing a comprehensive implementation of these tools, for research use. Availability and implementation The MS.liverK R package is available from GitHub ( https://github.com/cit-bioinfo/MS.liverK ).
Florent Petitprez, Léa Meunier, Éric Letouzé, Yujin Hoshida, Augusto Villanueva, Josep M. Llovet, Snorri S. Thorgeirsson, Xin Wei Wang, Wolf H. Fridman, Jessica Zucman‐Rossi, Aurélien de Reyniès (2019). <i>MS.liverK:</i> an R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancer. bioRxiv (Cold Spring Harbor Laboratory), DOI: 10.1101/540005.
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Type
Preprint
Year
2019
Authors
11
Datasets
0
Total Files
0
Language
English
Journal
bioRxiv (Cold Spring Harbor Laboratory)
DOI
10.1101/540005
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