Other packages > Find by keyword >

BioM2  

Biologically Explainable Machine Learning Framework
View on CRAN: Click here


Download and install BioM2 package within the R console
Install from CRAN:
install.packages("BioM2")

Install from Github:
library("remotes")
install_github("cran/BioM2")

Install by package version:
library("remotes")
install_version("BioM2", "1.1.0")



Attach the package and use:
library("BioM2")
Maintained by
Shunjie Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-21
Latest Update: 2024-02-29
Description:
Biologically Explainable Machine Learning Framework for Phenotype Prediction using omics data described in Chen and Schwarz (2017) .Identifying reproducible and interpretable biological patterns from high-dimensional omics data is a critical factor in understanding the risk mechanism of complex disease. As such, explainable machine learning can offer biological insight in addition to personalized risk scoring.In this process, a feature space of biological pathways will be generated, and the feature space can also be subsequently analyzed using WGCNA (Described in Horvath and Zhang (2005) and Langfelder and Horvath (2008) ) methods.
How to cite:
Shunjie Zhang (2023). BioM2: Biologically Explainable Machine Learning Framework. R package version 1.1.0, https://cran.r-project.org/web/packages/BioM2. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2023-09-27 09:30), 1.0.2 (2023-10-25 10:30), 1.0.3 (2024-01-11 01:53), 1.0.4 (2024-02-29 11:32), 1.0.5 (2024-03-10 05:50), 1.0.6 (2024-05-16 12:00), 1.0.7 (2024-06-09 10:50), 1.0.8 (2024-07-18 06:30), 1.0.9 (2024-08-01 10:40), 1.0.10 (2024-08-20 10:00), 1.0 (2023-09-21 20:10)
Other packages that cited BioM2 R package
View BioM2 citation profile
Other R packages that BioM2 depends, imports, suggests or enhances
Complete documentation for BioM2
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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