Bioconductor release scheduled for October 29

lute

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Framework for cell size scale factor normalized bulk transcriptomics deconvolution experiments


Bioconductor version: Development (3.22)

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 iD ORCID: 0000-0002-2212-4894 , Stephanie Hicks [aut] ORCID iD ORCID: 0000-0002-7858-0231

Maintainer: Sean K Maden <maden.sean at gmail.com>

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

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("lute")

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

Documentation

Reference Manual PDF

Details

biocViews Coverage, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version 1.5.1
In Bioconductor since BioC 3.19 (R-4.4) (1.5 years)
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
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/lute
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lute
Package Short Url https://bioconductor.org/packages/lute/
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