integIRTy: Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory

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>.

Version:	1.0.7
Depends:	R (≥ 2.10), ltm, foreach, doParallel
Imports:	mclust, MASS, abind
Suggests:	KernSmooth
Published:	2022-05-03
Author:	Pan Tong, Kevin R Coombes
Maintainer:	Kevin R. Coombes <krc at silicovore.com>
License:	Apache License (== 2.0)
URL:	http://oompa.r-forge.r-project.org/
NeedsCompilation:	no
CRAN checks:	integIRTy results

Documentation:

Reference manual:	integIRTy.pdf
Vignettes:	integIRTy Vignette

Downloads:

Package source:	integIRTy_1.0.7.tar.gz
Windows binaries:	r-devel: integIRTy_1.0.7.zip, r-release: integIRTy_1.0.7.zip, r-oldrel: integIRTy_1.0.7.zip
macOS binaries:	r-release (arm64): integIRTy_1.0.7.tgz, r-oldrel (arm64): integIRTy_1.0.7.tgz, r-release (x86_64): integIRTy_1.0.7.tgz, r-oldrel (x86_64): integIRTy_1.0.7.tgz
Old sources:	integIRTy archive

Linking:

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