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Exploiting Depmap cancer dependency data using the depmap R package

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 06 Dec 2019 English Publisher:Zenodo

Authors: Theo Killian; Laurent Gatto;

doi: 10.5281/zenodo.3565686 , 10.5281/zenodo.3565687

Exploiting Depmap cancer dependency data using the depmap R package

- Summary
- Subjects
- Metrics

Abstract

The depmap package facilitates access in the R environment for data from the Depmap project, which maps genetic and chemical dependencies, and other molecular biological features for over 1700 cancer cell lines. The depmap package formats this data for use of popular R data analysis and visualization tools such as dplyr and ggplot2 In addition, the depmap package utilizes ExperimentHub, storing versions of Depmap data accessible from the cloud, providing a reproducible research framework to support exploration.

Related Organizations

Université Catholique de Louvain
Belgium

Keywords

R, Bioconductor

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average