CRAN/E | BioM2

BioM2

Biologically Explainable Machine Learning Framework

Installation

About

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) doi:10.2202/1544-6115.1128 and Langfelder and Horvath (2008) doi:10.1186/1471-2105-9-559 ) methods.

Key Metrics

Version 1.0.5
R ≥ 4.1.0
Published 2024-03-10 36 days ago
Needs compilation? no
License MIT
License File
CRAN checks BioM2 results

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Maintainer

Maintainer

Shunjie Zhang

zhang.shunjie@qq.com

Authors

Shunjie Zhang
Junfang Chen

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BioM2 archive

Depends

R ≥ 4.1.0

Imports

WGCNA
mlr3
CMplot
ggsci
ROCR
caret
ggplot2
ggpubr
viridis
ggthemes
ggstatsplot
htmlwidgets
jiebaR
mlr3verse
parallel
uwot
webshot
wordcloud2
ggforce
igraph
ggnetwork