Package: BUScorrect
Type: Package
Title: Batch Effects Correction with Unknown Subtypes
Version: 1.16.0
Date: 2018-06-07
Author: Xiangyu Luo <xyluo1991@gmail.com>, Yingying Wei <yweicuhk@gmail.com>
Maintainer: Xiangyu Luo <xyluo1991@gmail.com>
Depends: R (>= 3.5.0)
Description: High-throughput experimental data are accumulating exponentially in public databases. However, mining valid scientific discoveries from these abundant resources is hampered by technical artifacts and inherent biological heterogeneity. The former are usually termed "batch effects," and the latter is often modelled by "subtypes." The R package BUScorrect fits a Bayesian hierarchical model, the Batch-effects-correction-with-Unknown-Subtypes model (BUS), to correct batch effects in the presence of unknown subtypes. BUS is capable of (a) correcting batch effects explicitly, (b) grouping samples that share similar characteristics into subtypes, (c) identifying features that distinguish subtypes, and (d) enjoying a linear-order computation complexity.   
Imports: gplots, methods, grDevices, stats, SummarizedExperiment
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, RUnit, BiocGenerics
biocViews: GeneExpression, StatisticalMethod, Bayesian, Clustering,
        FeatureExtraction, BatchEffect
LazyLoad: yes
License: GPL (>= 2)
git_url: https://git.bioconductor.org/packages/BUScorrect
git_branch: RELEASE_3_16
git_last_commit: e1645d7
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: yes
Packaged: 2022-11-01 23:09:07 UTC; biocbuild
Built: R 4.2.1; x86_64-w64-mingw32; 2022-11-02 13:19:14 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
