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
| Maintainer | Trinh Nguyen <tinh.nguyen@nih.gov> |
| Author | Sanju Sinha [aut], Trinh Nguyen [aut, cre] (ORCID: <https://orcid.org/0000-0002-6606-6948>), Ying Hu [aut] |
| License | GPL-2 |
| Downloads rank | 309 |
| Source branch | RELEASE_3_23 |
| biocViews | CRISPR, DifferentialExpression, GeneExpression, GenePrediction, GeneSetEnrichment, GeneTarget, ImmunoOncology, Pathways, RNASeq, ReportWriting, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | DeepTarget_1.6.0.tar.gz |
| Windows binary (x86_64) | DeepTarget_1.6.0.zip |
| macOS binary (arm64) | DeepTarget_1.6.0.tgz |
| macOS binary (x86_64) | DeepTarget_1.6.0.tgz |