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: |
0.1.4.2 |
| 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: |
2023-09-18 |
| 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 |
| CRAN checks: |
MBMethPred results |
Documentation:
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