Package: BUScorrect
Type: Package
Title: Batch Effects Correction with Unknown Subtypes
Version: 1.31.0
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)
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:48:30 UTC
RemoteUrl: https://github.com/bioc/BUScorrect
RemoteRef: HEAD
RemoteSha: 3213fae03e5deadb539a0a7334378a5a221889f0
NeedsCompilation: yes
Packaged: 2026-06-17 06:48:44 UTC; root