This is the development version of RAIDS; for the stable release version, see RAIDS.
Robust Ancestry Inference using Data SynthesisBioconductor version: Development (3.22)
This package implements specialized algorithms that enable genetic ancestry inference from various cancer sequences sources (RNA, Exome and Whole-Genome sequences). This package also implements a simulation algorithm that generates synthetic cancer-derived data. This code and analysis pipeline was designed and developed for the following publication: Belleau, P et al. Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms. Cancer Res 1 January 2023; 83 (1): 49â58.
Author: Pascal Belleau [cre, aut] ORCID: 0000-0002-0802-1071 , Astrid Deschênes [aut] ORCID: 0000-0001-7846-6749 , David A. Tuveson [aut] ORCID: 0000-0002-8017-2712 , Alexander Krasnitz [aut]
Maintainer: Pascal Belleau <pascal_belleau at hotmail.com>
Citation (from within R, entercitation("RAIDS")
): 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("RAIDS")
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("RAIDS")
Details biocViews BiocViews, DimensionReduction, GeneticVariability, Genetics, PrincipalComponent, Sequencing, Software, WholeGenome Version 1.7.1 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License Apache License (>= 2) Depends R (>= 4.2.0), gdsfmt, SNPRelate, stats, utils, GENESIS, dplyr, Rsamtools Imports S4Vectors, GenomicRanges, ensembldb, BSgenome, AnnotationDbi, methods, class, pROC, IRanges, AnnotationFilter, rlang, VariantAnnotation, MatrixGenerics, ggplot2, stringr System Requirements URL https://krasnitzlab.github.io/RAIDS/ Bug Reports https://github.com/KrasnitzLab/RAIDS/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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