This is the released version of lute; for the devel version, see lute.
Framework for cell size scale factor normalized bulk transcriptomics deconvolution experimentsBioconductor version: Release (3.21)
Provides a framework for adjustment on cell type size when performing bulk transcripomics deconvolution. The main framework function provides a means of reference normalization using cell size scale factors. It allows for marker selection and deconvolution using non-negative least squares (NNLS) by default. The framework is extensible for other marker selection and deconvolution algorithms, and users may reuse the generics, methods, and classes for these when developing new algorithms.
Author: Sean K Maden [cre, aut] ORCID: 0000-0002-2212-4894 , Stephanie Hicks [aut] ORCID: 0000-0002-7858-0231
Maintainer: Sean K Maden <maden.sean at gmail.com>
Citation (from within R, entercitation("lute")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("lute")
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("lute")
Details biocViews Coverage, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics Version 1.4.0 In Bioconductor since BioC 3.19 (R-4.4) (1 year) License Artistic-2.0 Depends R (>= 4.3.0), stats, methods, utils, SummarizedExperiment, SingleCellExperiment, BiocGenerics Imports S4Vectors, Biobase, scran, dplyr, ggplot2 System Requirements URL https://github.com/metamaden/lute Bug Reports https://github.com/metamaden/lute/issues See More Suggests nnls, knitr, testthat, rmarkdown, BiocStyle, GenomicRanges, limma, ExperimentHub, AnnotationHub, DelayedMatrixStats, BisqueRNA, DelayedArray Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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