Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory
Overview
Provides a systematic framework for integrating multiple modalities of assays profiled on the same set of samples. The goal is to identify genes that are altered in cancer either marginally or consistently across different assays. The heterogeneity among different platforms and different samples are automatically adjusted so that the overall alteration magnitude can be accurately inferred. See Tong and Coombes (2012) doi:10.1093/bioinformatics/bts561.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 90%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 91%
Downloads
Dependencies
Installing integIRTy adds 22 packages (12 with compiled code, 9.8 MB of source tarballs). Heaviest: mclust 2.7 MB, mvtnorm 1.0 MB, vctrs 1.0 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.0.9Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.82025-04-08 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.72022-05-03 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.62019-05-06 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.52017-07-11
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-07-11
- Total releases
- 5 / 9 yrs
- License
- Apache License (== 2.0)
- Minimum R
- ≥ 2.10
- Bundled data
- 649 KB / 1 file
- Download size
- 1.2 MB
Cite
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citation("integIRTy")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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