hacksig: a unified and tidy R framework to easily compute gene expression signature scores

Author:

Carenzo Andrea1ORCID,Pistore Federico2,Serafini Mara S1,Lenoci Deborah1,Licata Armando G1,De Cecco Loris1

Affiliation:

1. Molecular Mechanisms Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori , Milan 20133, Italy

2. Head and Neck Cancer Medical Oncology 3 Department, Fondazione IRCCS Istituto Nazionale dei Tumori , Milan 20133, Italy

Abstract

Abstract Summary Hundreds of gene expression signatures have been developed during the last two decades. However, due to the multitude of development procedures and sometimes a lack of explanation for their implementation, it can become challenging to apply the original method on custom data. Moreover, at present, there is no unified and tidy interface to compute signature scores with different single sample enrichment methods. For these reasons, we developed hacksig, an R package intended as a unified framework to obtain single sample scores with a tidy output as well as a collection of manually curated gene signatures and methods from cancer transcriptomics literature. Availability and implementation The hacksig R package is freely available on CRAN (https://CRAN.R-project.org/package=hacksig) under the MIT license. The source code can be found on GitHub at https://github.com/Acare/hacksig. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Associazione Italiana per la Ricerca sul Cancro

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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