henhaobio
Sign in

bioRxivBioinformaticsPreprint

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

Florent PetitpreziD, Léa MeunieriD, Éric LetouzéiD, Yujin HoshidaiD, Augusto VillanuevaiD, Josep Maria LlovetiD, Snorri S. Thorgeirsson, Xin Wei WangiD, Wolf H. FridmaniD, Jessica Zucman‐RossiiD, Aurélien de ReynièsiD

PDFDOICode

Abstract

SummaryLiver 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 implementationThe MS.liverK R package is available from GitHub (https://github.com/cit-bioinfo/MS.liverK).

Citations
7

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.