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Bioconductor - blima (development version)

blima

This is the development version of blima; for the stable release version, see blima.

Tools for the preprocessing and analysis of the Illumina microarrays on the detector (bead) level

Bioconductor version: Development (3.22)

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: Vojtěch Kulvait

Maintainer: Vojtěch Kulvait <kulvait at gmail.com>

Citation (from within R, enter citation("blima")): 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("blima")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To 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 1.43.0 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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