A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.

Maya VarmaKelley M PaskovBrianna S ChrismanMin Woo SunJae-Yoon JungNate T StockhamPeter Y WashingtonDennis P Wall

Published in: BioData mining (2021)

Our method allows for the creation of machine learning models that can identify predictive variants. Our results help pave the way towards biomarker-based diagnosis methods for complex genetic disorders.

Keyphrases

machine learning
copy number
autism spectrum disorder
intellectual disability
genome wide
artificial intelligence
big data
bioinformatics analysis
deep learning
dna methylation
gene expression
network analysis
subarachnoid hemorrhage
brain injury