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blima

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

Bioconductor version: 3.24 · Package version: 1.47.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("blima")

Details

MaintainerVojtěch Kulvait <kulvait@gmail.com>
AuthorVojtěch Kulvait
LicenseGPL-3
URLhttps://bitbucket.org/kulvait/blima
Downloads rank527
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, GeneRegulation, Microarray, Normalization, Preprocessing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageblima_1.47.0.tar.gz
Windows binary (x86_64)blima_1.47.0.zip
macOS binary (arm64)blima_1.47.0.tgz
macOS binary (x86_64)blima_1.47.0.tgz
Dependencies

Depends: R (>= 3.3)

Imports: beadarray (>= 2.0.0), Biobase (>= 2.0.0), Rcpp (>= 0.12.8), BiocGenerics, grDevices, stats, graphics

LinkingTo: Rcpp

Suggests: xtable, blimaTestingData, BiocStyle, illuminaHumanv4.db, lumi, knitr

Reverse dependencies

Suggests Me (1): blimaTestingData