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BioM2
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]
[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:
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Other R packages that BioM2 depends,
imports, suggests or enhances
Complete documentation for BioM2
Functions, R codes and Examples using
the BioM2 R package
Some associated functions: AddUnmapped . BioM2 . FindParaModule . GO2ALLEGS_BP . GO_Ancestor . GO_Ancestor_exact . MethylAnno . MethylData_Test . PathwaysModule . PlotCorModule . PlotPathFearture . PlotPathInner . PlotPathNet . ShowModule . Stage1_FeartureSelection . Stage2_FeartureSelection . TransAnno . TransData_Test . VisMultiModule . baseModel .
Some associated R codes: BioM2.R . data.R . Full BioM2 package functions and examples
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