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This is the development version of DeepTarget; to use it, please install the devel version of Bioconductor.

Deep characterization of cancer drugs

Bioconductor version: Development (3.20)

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. We also guided how to interpret the result.

Author: Sanju Sinha [aut], Trinh Nguyen [aut, cre] , Ying Hu [aut]

Maintainer: Trinh Nguyen <tinh.nguyen at>

Citation (from within R, enter citation("DeepTarget")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Workflow Demonstration for Deep characterization of cancer drugs HTML R Script
Reference Manual PDF


biocViews CRISPR, DifferentialExpression, GeneExpression, GenePrediction, GeneSetEnrichment, GeneTarget, ImmunoOncology, Pathways, RNASeq, ReportWriting, Software
Version 0.99.19
In Bioconductor since BioC 3.20 (R-4.4)
License GPL-2
Depends R (>= 4.2.0)
Imports fgsea, ggplot2, stringr, ggpubr, BiocParallel, pROC, stats, grDevices, graphics, depmap, readr, dplyr
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Follow Installation instructions to use this package in your R session.

Source Package DeepTarget_0.99.19.tar.gz
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macOS Binary (x86_64) DeepTarget_0.99.19.tgz
macOS Binary (arm64) DeepTarget_0.99.19.tgz
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