This is the released version of blima; for the devel version, see blima.
Tools for the preprocessing and analysis of the Illumina microarrays on the detector (bead) levelBioconductor version: Release (3.21)
Package blima includes several algorithms for the preprocessing of Illumina microarray data. It focuses to the bead level analysis and provides novel approach to the quantile normalization of the vectors of unequal lengths. It provides variety of the methods for background correction including background subtraction, RMA like convolution and background outlier removal. It also implements variance stabilizing transformation on the bead level. There are also implemented methods for data summarization. It also provides the methods for performing T-tests on the detector (bead) level and on the probe level for differential expression testing.
Author: VojtÄch Kulvait
Maintainer: VojtÄch Kulvait <kulvait at gmail.com>
Citation (from within R, entercitation("blima")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("blima")
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("blima")
Details biocViews DifferentialExpression, GeneExpression, GeneRegulation, Microarray, Normalization, Preprocessing, Software Version 1.42.0 In Bioconductor since BioC 3.0 (R-3.1) (10.5 years) License GPL-3 Depends R (>= 3.3) Imports beadarray(>= 2.0.0), Biobase(>= 2.0.0), Rcpp (>= 0.12.8), BiocGenerics, grDevices, stats, graphics System Requirements URL https://bitbucket.org/kulvait/blima See More Package Archives
Follow Installation instructions to use this package in your R session.
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