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Bioconductor - RAIDS (development version)

RAIDS

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

Robust Ancestry Inference using Data Synthesis

Bioconductor 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): 49–58.

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, enter citation("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.

Documentation

To 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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