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
| Maintainer | Junyan Lu <jylu1118@gmail.com> |
| Author | Junyan Lu [aut, cre] (ORCID: <https://orcid.org/0000-0002-9211-0746>), Alina Batzilla [aut] |
| License | GPL-3 |
| Bug Reports | https://github.com/Huber-group-EMBL/DepInfeR/issues |
| Downloads rank | 213 |
| Source branch | RELEASE_3_23 |
| biocViews | FunctionalGenomics, 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