Data science using the human epigenome for predicting multifactorial diseases and symptoms.

Shota Nishitani Alicia K Smith Akemi Tomoda Takashi X Fujisawa

Published in: Epigenomics (2024)

Tweetable abstract This article reviews machine learning models that leverages epigenomic data for predicting multifactorial diseases and symptoms as well as how such models can be utilized to explore new research questions.

Keyphrases

machine learning
big data
electronic health record
endothelial cells
dna methylation
public health
sleep quality
artificial intelligence
systematic review
gene expression
deep learning
pluripotent stem cells