This is the development version of BUScorrect; for the stable release version, see BUScorrect.
Batch Effects Correction with Unknown SubtypesBioconductor version: Development (3.22)
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.
Author: Xiangyu Luo <xyluo1991 at gmail.com>, Yingying Wei <yweicuhk at gmail.com>
Maintainer: Xiangyu Luo <xyluo1991 at gmail.com>
Citation (from within R, entercitation("BUScorrect")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("BUScorrect")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BUScorrect")Follow Installation instructions to use this package in your R session.
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