most citedUtilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women

3 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing q-bio.GNShow all

1 paper · 1 filter

q-bio.GN2019

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity

Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers +4

One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational methods to identify statistically significant Sin…