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DeepTarget

Bioc current

Deep characterization of cancer drugs

v1.6.0 · Package record · software · GPL-2

Release Lineage

Entered 3.20 · Oct 30, 2024

Current · Requires R 4.6

1.0 In 4 of 49 releases 3.23

Description

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.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

12 0 exported

Complexity

3.1 avg / 10 max

Call network

12 nodes / 1 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

1,198

Files

31

Compiled share

0%

Has compiled src

No

Language breakdown

R 370 (30.9%)Docs 445 (37.1%)Vignettes 383 (32%)

API

Exported functions

11

Internal functions

12

Recent export changes

v3.20+11 computeCor, PredTarget, PredMaxSim +8 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

0%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2.0

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

4

First release

2024-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.20: 1,198 LOCv3.21: 1,198 LOCv3.22: 1,198 LOCv3.23: 1,198 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 297 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
12
Examples that run
100%12 run in a plain check
Exported functions with examples
not tracked
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 1
NameClassSizeAlso in
OntargetMlist5 elementsNo other package

All of DeepTarget's data objects

Topics

Maintainer
Trinh Nguyen

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("DeepTarget")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1101/2022.10.17.512424.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DeepTarget version 1.6.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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