SingscoreAMLMutations

DOI: 10.18129/B9.bioc.SingscoreAMLMutations  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see SingscoreAMLMutations.

Using singscore to predict mutations in AML from transcriptomic signatures

Bioconductor version: 3.16

This workflow package shows how transcriptomic signatures can be used to infer phenotypes. The workflow begins by showing how the TCGA AML transcriptomic data can be downloaded and processed using the TCGAbiolinks packages. It then shows how samples can be scored using the singscore package and signatures from the MSigDB. Finally, the predictive capacity of scores in the context of predicting a specific mutation in AML is shown.The workflow exhibits the interplay of Bioconductor packages to achieve a gene-set level analysis.

Author: Dharmesh D. Bhuva [aut, cre] , Momeneh Foroutan [aut] , Yi Xie [aut] , Ruqian Lyu [aut], Malvika Kharbanda [aut] , Joseph Cursons [aut] , Melissa J. Davis [aut]

Maintainer: Dharmesh D. Bhuva <bhuva.d at wehi.edu.au>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("SingscoreAMLMutations")

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("SingscoreAMLMutations")

 

HTML	R Script	Using singscore to predict mutations in AML from transcriptomic signatures
HTML	R Script	Using singscore to predict mutations in AML from transcriptomic signatures (Chinese version)
Text		NEWS

Details

biocViews	GeneExpressionWorkflow, GenomicVariantsWorkflow, ImmunoOncologyWorkflow, Workflow
Version	1.14.0
License	Artistic-2.0
Depends	R (>= 4.1.0)
Imports	dcanr, edgeR, ggplot2, gridExtra, GSEABase, mclust, org.Hs.eg.db, plyr, reshape2, rtracklayer, singscore, SummarizedExperiment, TCGAbiolinks, BiocFileCache
LinkingTo
Suggests	knitr, rmarkdown, BiocStyle, BiocWorkflowTools, spelling
SystemRequirements
Enhances
URL	https://github.com/DavisLaboratory/SingscoreAMLMutations
BugReports	https://github.com/DavisLaboratory/SingscoreAMLMutations/issues
Depends On Me
Imports Me
Suggests Me
Links To Me

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	SingscoreAMLMutations_1.14.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/SingscoreAMLMutations
Source Repository (Developer Access)	git clone [email protected]:packages/SingscoreAMLMutations
Package Short Url	https://bioconductor.org/packages/SingscoreAMLMutations/
Package Downloads Report	Download Stats