BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
BioMM installation from Github ```{r eval=FALSE} install.packages("devtools") library("devtools") install_github("transbioZI/BioMM", build_vignettes=TRUE)
BioMM has been incorporated into the [Bioconductor](http://www.bioconductor.org/packages/devel/bioc//html/BioMM.html).
To install this package from BioConductor, start R (version "4.0") and enter:
```{r eval=FALSE}
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BioMM", version = "4.0")
The detailed instructions on how to use this package are explained in the most updated vignette.
NIPS ML4H submission: Chen, J. and Schwarz, E., 2017. BioMM: Biologically-informed Multi-stage Machine learning for identification of epigenetic fingerprints. arXiv preprint arXiv:1712.00336.
Chen, Junfang, et al. "Association of a Reproducible Epigenetic Risk Profile for Schizophrenia With Brain Methylation and Function." JAMA psychiatry (2020).
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