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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.
Getting started
Browse package contents
Package details |
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| Author | Edris Sharif Rahmani [aut, ctb, cre] (<https://orcid.org/0000-0002-7899-1663>), Ankita Sunil Lawarde [aut, ctb] (<https://orcid.org/0000-0001-7572-4431>), Vijayachitra Modhukur [aut, ctb] (<https://orcid.org/0000-0002-7123-9903>) |
| Maintainer | Edris Sharif Rahmani <rahmani.biotech@gmail.com> |
| License | GPL |
| Version | 0.1.4.2 |
| URL | https://github.com/sharifrahmanie/MBMethPred |
| Package repository | View on CRAN |
| Installation |
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