Predict Synthetic Lethality and Other Gene Dependency Relationships from Multiomics Data
Overview
Predicts gene dependency relationships (GDRs) from functional genomics data. Regularised Gaussian mixture modelling may be applied for unsupervised clustering in addition to other data partitioning strategies. GDR analysis tools include discovery of synthetic lethal relationships and predicting population coverage for candidate drug targets from cancer patient mutational profiles. Functionality for visualisation is also available. 'MultiSEp' is applicable to data from a variety of sources including clinical cohorts, organoids and cell lines.
Install
Health
- OK13 OKNow
- OK5 OK2026-08-27
Documentation
- Help pages
- 35
- Examples that run
- 91%32 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 54%
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Dependencies
Code & Tests
Datasets
People & History
- 4.1.3Latest2026-08-27 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-27
- Total releases
- 1 / 1 yrs
- License
- LGPL-2.1 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.5 MB / 14 files
- Download size
- 3.2 MB
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