Other packages > Find by keyword >

MBMethPred  

Medulloblastoma Subgroups Prediction
View on CRAN: Click here


Download and install MBMethPred package within the R console
Install from CRAN:
install.packages("MBMethPred")

Install from Github:
library("remotes")
install_github("cran/MBMethPred")

Install by package version:
library("remotes")
install_version("MBMethPred", "0.1.4.4")



Attach the package and use:
library("MBMethPred")
Maintained by
Edris Sharif Rahmani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-13
Latest Update: 2025-06-17
Description:
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. for more details.
How to cite:
Edris Sharif Rahmani (2022). MBMethPred: Medulloblastoma Subgroups Prediction. R package version 0.1.4.4, https://cran.r-project.org/web/packages/MBMethPred. Accessed 16 Jul. 2026.
Previous versions and publish date:
0.1.0 (2022-12-13 13:20), 0.1.1 (2023-07-01 00:40), 0.1.2 (2023-07-03 08:50), 0.1.4.2 (2023-09-18 16:10), 0.1.4.3 (2025-06-17 10:00), 0.1.4 (2023-07-11 14:00), (2026-07-09 08:08)
Other packages that cited MBMethPred R package
View MBMethPred citation profile
Other R packages that MBMethPred depends, imports, suggests or enhances
Complete documentation for MBMethPred
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA