signeR: an empirical Bayesian approach to mutational signature discovery

2016132 citationsJournal Articlebronze Open Access

Authors

Rafael Rosales · Universidade de São Paulo

Rodrigo D. Drummond · AC Camargo Hospital

Emmanuel Dias‐Neto · AC Camargo Hospital

Israel Tojal da Silva · Rockefeller University

Abstract

signeR is implemented in R and C ++, and is available as a R package at http://bioconductor.org/packages/signeR CONTACT: itojal@cipe.accamargo.org.brSupplementary information: Supplementary data are available at Bioinformatics online.

Topics & Keywords

Cancer Genomics and Diagnostics Genomic variations and chromosomal abnormalities Gene expression and cancer classification

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: Bioinformatics

Volume 33, Issue 1, pp. 8-16

DOI: 10.1093/bioinformatics/btw572

Field-Weighted Citation Impact: 4.73