This is the development version of octad; for the stable release version, see octad.
Open Cancer TherApeutic Discovery (OCTAD)Bioconductor version: Development (3.22)
OCTAD provides a platform for virtually screening compounds targeting precise cancer patient groups. The essential idea is to identify drugs that reverse the gene expression signature of disease by tamping down over-expressed genes and stimulating weakly expressed ones. The package offers deep-learning based reference tissue selection, disease gene expression signature creation, pathway enrichment analysis, drug reversal potency scoring, cancer cell line selection, drug enrichment analysis and in silico hit validation. It currently covers ~20,000 patient tissue samples covering 50 cancer types, and expression profiles for ~12,000 distinct compounds.
Author: E. Chekalin [aut, cre], S. Paithankar [aut], B. Zeng [aut], B. Glicksberg [ctb], P. Newbury [ctb], J. Xing [ctb], K. Liu [ctb], A. Wen [ctb], D. Joseph [ctb], B. Chen [aut]
Maintainer: E. Chekalin <eygen.chekalin at gmail.com>
Citation (from within R, entercitation("octad")
): 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("octad")
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("octad")
Details biocViews Classification, GeneExpression, GeneSetEnrichment, Pharmacogenetics, Pharmacogenomics, Software Version 1.11.1 In Bioconductor since BioC 3.16 (R-4.2) (2.5 years) License Artistic-2.0 Depends R (>= 4.2.0), magrittr, dplyr, ggplot2, edgeR, RUVSeq, DESeq2, limma, rhdf5, foreach, Rfast, octad.db, stats, httr, qpdf, ExperimentHub, AnnotationHub, Biobase, S4Vectors Imports EDASeq, GSVA, data.table, htmlwidgets, plotly, reshape2, grDevices, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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