MS.liverK: An R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancer

Florent Petitprez, Léa Meunier, Eric Letouzé, Yujin Hoshida, Augusto Villanueva, Josep Llovet, Snorri Thorgeirsson, Xin Wei Wang, Wolf H. Fridman, Jessica Zucman-Rossi, Aurélien de Reyniès

Research output: Contribution to journalArticlepeer-review

Abstract

Summary 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).

Original languageEnglish (US)
JournalUnknown Journal
DOIs
StatePublished - Feb 7 2019
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • Immunology and Microbiology(all)
  • Neuroscience(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

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