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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4.4 |
rolling linux/jammy R-4.5 | MBMethPred_0.1.4.4.tar.gz |
4.0 MiB |
0.1.4.4 |
rolling linux/noble R-4.5 | MBMethPred_0.1.4.4.tar.gz |
4.0 MiB |
0.1.4.4 |
rolling source/ R- | MBMethPred_0.1.4.4.tar.gz |
2.9 MiB |
0.1.4.4 |
latest linux/jammy R-4.5 | MBMethPred_0.1.4.4.tar.gz |
4.0 MiB |
0.1.4.4 |
latest linux/noble R-4.5 | MBMethPred_0.1.4.4.tar.gz |
4.0 MiB |
0.1.4.4 |
latest source/ R- | MBMethPred_0.1.4.4.tar.gz |
2.9 MiB |
0.1.4.4 |
2026-04-26 source/ R- | MBMethPred_0.1.4.4.tar.gz |
2.9 MiB |
0.1.4.4 |
2026-04-23 source/ R- | MBMethPred_0.1.4.4.tar.gz |
2.9 MiB |
0.1.4.4 |
2026-04-09 windows/windows R-4.5 | MBMethPred_0.1.4.4.zip |
4.0 MiB |
0.1.4.2 |
2025-04-20 source/ R- | MBMethPred_0.1.4.2.tar.gz |
2.9 MiB |