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DeepTarget

Deep characterization of cancer drugs

Bioconductor version: 3.23 · Package version: 1.6.0

This package predicts a drug’s primary target(s) or secondary target(s) by integrating large-scale genetic and drug screens from the Cancer Dependency Map project run by the Broad Institute. It further investigates whether the drug specifically targets the wild-type or mutated target forms. To show how to use this package in practice, we provided sample data along with step-by-step example.

Installation

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

BiocManager::install("DeepTarget")

Details

MaintainerTrinh Nguyen <tinh.nguyen@nih.gov>
AuthorSanju Sinha [aut], Trinh Nguyen [aut, cre] (ORCID: <https://orcid.org/0000-0002-6606-6948>), Ying Hu [aut]
LicenseGPL-2
Downloads rank170
Source branchRELEASE_3_23
biocViewsCRISPR, DifferentialExpression, GeneExpression, GenePrediction, GeneSetEnrichment, GeneTarget, ImmunoOncology, Pathways, RNASeq, ReportWriting, Software

Documentation

Download

Dependencies

Depends: R (>= 4.2.0)

Imports: fgsea, ggplot2, stringr, ggpubr, BiocParallel, pROC, stats, grDevices, graphics, depmap, readr, dplyr

Suggests: BiocStyle, knitr, rmarkdown