This is the released version of TOP; for the devel version, see TOP.
TOP Constructs Transferable Model Across Gene Expression PlatformsBioconductor version: Release (3.21)
TOP constructs a transferable model across gene expression platforms for prospective experiments. Such a transferable model can be trained to make predictions on independent validation data with an accuracy that is similar to a re-substituted model. The TOP procedure also has the flexibility to be adapted to suit the most common clinical response variables, including linear response, binomial and Cox PH models.
Author: Harry Robertson [aut, cre] ORCID: 0000-0001-9203-3894 , Nicholas Robertson [aut]
Maintainer: Harry Robertson <harry.robertson at sydney.edu.au>
Citation (from within R, entercitation("TOP")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TOP")
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("TOP")
Details biocViews GeneExpression, Software, Survival Version 1.8.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License GPL-3 Depends R (>= 4.1.0) Imports assertthat, caret, ClassifyR, directPA, doParallel, dplyr, ggnewscale, ggplot2, ggraph, ggrepel, ggthemes, glmnet, Hmisc, igraph, latex2exp, limma, magrittr, methods, plotly, pROC, purrr, reshape2, stats, stringr, survival, tibble, tidygraph, tidyr, statmod System Requirements URL https://github.com/Harry25R/TOP Bug Reports https://github.com/Harry25R/TOP/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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