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Bioconductor 3.22 Released

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M3Drop

This is thereleased version of M3Drop; for the devel version, seeM3Drop.

Michaelis-Menten Modelling of Dropouts in single-cell RNASeq

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DOI: 10.18129/B9.bioc.M3Drop


Bioconductor version: Release (3.22)

This package fits a model to the pattern of dropouts in single-cell RNASeq data. This model is used as a null to identify significantly variable (i.e. differentially expressed) genes for use in downstream analysis, such as clustering cells. Also includes an method for calculating exact Pearson residuals in UMI-tagged data using a library-size aware negative binomial model.

Author: Tallulah Andrews <tallulandrews at gmail.com>

Maintainer: Tallulah Andrews <tallulandrews at gmail.com>

Citation (from within R, entercitation("M3Drop")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("M3Drop")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("M3Drop")
Introduction to M3DropPDFR Script
Reference ManualPDF
READMEText
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,DimensionReduction,FeatureExtraction,GeneExpression,RNASeq,Sequencing,Software,Transcriptomics
Version1.36.0
In Bioconductor sinceBioC 3.4 (R-3.3) (9 years)
LicenseGPL (>=2)
DependsR (>= 3.4),numDeriv
ImportsRColorBrewer,gplots,bbmle,statmod, grDevices, graphics, stats,matrixStats,Matrix,irlba,reldist,Hmisc, methods,scater
System Requirements
URLhttps://github.com/tallulandrews/M3Drop
Bug Reportshttps://github.com/tallulandrews/M3Drop/issues
See More
SuggestsROCR,knitr,M3DExampleData,SingleCellExperiment,Seurat,Biobase
Linking To
Enhances
Depends On Me
Imports MescMerge
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageM3Drop_1.36.0.tar.gz
Windows Binary (x86_64) M3Drop_1.36.0.zip
macOS Binary (x86_64)M3Drop_1.36.0.tgz
macOS Binary (arm64)M3Drop_1.36.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/M3Drop
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/M3Drop
Bioc Package Browserhttps://code.bioconductor.org/browse/M3Drop/
Package Short Urlhttps://bioconductor.org/packages/M3Drop/
Package Downloads ReportDownload Stats

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