MBMethPred: Medulloblastoma Subgroups Prediction

Utilizing a combination of machine learning models (Random Forest, Naive Bayes, K-Nearest Neighbor, Support Vector Machines, Extreme Gradient Boosting, and Linear Discriminant Analysis) and a deep Artificial Neural Network model, 'MBMethPred' can predict medulloblastoma subgroups, including wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4 from methylation data.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stringr, ggplot2, parallel, caTools, caret, keras, MASS, Rtsne, SNFtool, class, dplyr, e1071, pROC, randomForest, readr, reshape2, reticulate, rgl, tensorflow, xgboost
Suggests: knitr, rmarkdown, testthat, utils, stats, scales
Published: 2022-12-13
Author: Edris Sharif Rahmani ORCID iD [aut, ctb, cre], Ankita Sunil Lawarde ORCID iD [aut, ctb], Vijayachitra Modhukur ORCID iD [aut, ctb]
Maintainer: Edris Sharif Rahmani <rahmani.biotech at gmail.com>
BugReports: https://github.com/sharifrahmanie/MBMethPred/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: MBMethPred results


Reference manual: MBMethPred.pdf
Vignettes: MBMethPred introduction


Package source: MBMethPred_0.1.0.tar.gz
Windows binaries: r-devel: MBMethPred_0.1.0.zip, r-release: MBMethPred_0.1.0.zip, r-oldrel: MBMethPred_0.1.0.zip
macOS binaries: r-release (arm64): MBMethPred_0.1.0.tgz, r-oldrel (arm64): MBMethPred_0.1.0.tgz, r-release (x86_64): MBMethPred_0.1.0.tgz, r-oldrel (x86_64): MBMethPred_0.1.0.tgz


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