Package: DepInfeR Type: Package Title: Inferring tumor-specific cancer dependencies through integrating ex-vivo drug response assays and drug-protein profiling Version: 1.17.0 Authors@R: c(person(given = "Junyan", family = "Lu", role = c("aut", "cre"), email = "jylu1118@gmail.com", comment = c(ORCID = "0000-0002-9211-0746")), person(given = "Alina", family = "Batzilla", role = c("aut"))) Description: 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. License: GPL-3 Encoding: UTF-8 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 VignetteBuilder: knitr RoxygenNote: 7.1.2 biocViews: Software, Regression, Pharmacogenetics, Pharmacogenomics, FunctionalGenomics BugReports: https://github.com/Huber-group-EMBL/DepInfeR/issues Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:58:04 UTC RemoteUrl: https://github.com/bioc/DepInfeR RemoteRef: HEAD RemoteSha: db99a147aaa4bc53d2386b4b31c23bfd6508e63e NeedsCompilation: no Packaged: 2026-07-04 04:41:34 UTC; root Author: Junyan Lu [aut, cre] (ORCID: ), Alina Batzilla [aut] Maintainer: Junyan Lu