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 DNA methylation beta values. See Sharif Rahmani E, Lawarde A, Lingasamy P, Moreno SV, Salumets A and Modhukur V (2023), MBMethPred: a computational framework for the accurate classification of childhood medulloblastoma subgroups using data integration and AI-based approaches. Front. Genet. 14:1233657. <doi:10.3389/fgene.2023.1233657> for more details.
| Version: | 0.1.4.4 |
| 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: | 2025-12-04 |
| DOI: | 10.32614/CRAN.package.MBMethPred |
| Author: | Edris Sharif Rahmani [aut, ctb, cre], Ankita Sunil Lawarde [aut, ctb], Vijayachitra Modhukur [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] |
| URL: | https://github.com/sharifrahmanie/MBMethPred |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MBMethPred results |
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