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DepInfeR

Inferring tumor-specific cancer dependencies through integrating ex-vivo drug response assays and drug-protein profiling

Bioconductor version: 3.23 · Package version: 1.16.0

DepInfeR integrates two experimentally accessible input data matrices: the drug sensitivity profiles of cancer cell lines or primary tumors ex-vivo (X), and the drug affinities of a set of proteins (Y), to infer a matrix of molecular protein dependencies of the cancers (ß). DepInfeR deconvolutes the protein inhibition effect on the viability phenotype by using regularized multivariate linear regression. It assigns a “dependence coefficient” to each protein and each sample, and therefore could be used to gain a causal and accurate understanding of functional consequences of genomic aberrations in a heterogeneous disease, as well as to guide the choice of pharmacological intervention for a specific cancer type, sub-type, or an individual patient. For more information, please read out preprint on bioRxiv: https://doi.org/10.1101/2022.01.11.475864.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DepInfeR")

Details

MaintainerJunyan Lu <jylu1118@gmail.com>
AuthorJunyan Lu [aut, cre] (ORCID: <https://orcid.org/0000-0002-9211-0746>), Alina Batzilla [aut]
LicenseGPL-3
Bug Reportshttps://github.com/Huber-group-EMBL/DepInfeR/issues
Downloads rank213
Source branchRELEASE_3_23
biocViewsFunctionalGenomics, Pharmacogenetics, Pharmacogenomics, Regression, Software

Documentation

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Dependencies

Depends: R (>= 4.2.0)

Imports: matrixStats, glmnet, stats, BiocParallel

Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tidyr, tibble, ggplot2, missForest, pheatmap, RColorBrewer, ggrepel, BiocStyle, ggbeeswarm