MS.liverK: an R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancer
Year: 2019
Type: preprint
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 ).
DOI: 10.1101/540005
Institutions: Inserm, Sorbonne Paris Cité, Centre de Recherche des Cordeliers, La Ligue Contre le Cancer, Université Paris Descartes, Université Pierre-et-Marie-Curie, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Universitat de Barcelona, National Cancer Institute, Center for Cancer Research, Assistance Publique – Hôpitaux de Paris, Hôpital Européen Georges-Pompidou
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2913951562