DOI: 10.18129/B9.bioc.TOP  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see TOP.

TOP Constructs Transferable Model Across Gene Expression Platforms

Bioconductor version: 3.17

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] , Nicholas Robertson [aut]

Maintainer: Harry Robertson <harry.robertson at>

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biocViews GeneExpression, Software, Survival
Version 1.0.0
In Bioconductor since BioC 3.17 (R-4.3) (< 6 months)
License GPL-3
Depends R (>= 3.5.0)
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
Suggests knitr, rmarkdown, BiocStyle, Biobase, curatedOvarianData, ggbeeswarm, ggsci, survminer, tidyverse
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