3 papers
astro-ph.IM2018
GRAPE: Genetic Routine for Astronomical Period Estimation
Paul R. McWhirter, Iain A. Steele, Abir Hussain +2
Period estimation is an important task in the classification of many variable astrophysical objects. Here we present GRAPE: Genetic Routine for Astronomical Period Estimation, a ge…
q-bio.GN2018
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data
Casimiro A. Curbelo Montañez, Paul Fergus, Carl Chalmers +1
The aetiology of polygenic obesity is multifactorial, which indicates that life-style and environmental factors may influence multiples genes to aggravate this disorder. Several lo…
cs.CY2018
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs
Casimiro Adays Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez +1
In this paper, association results from genome-wide association studies (GWAS) are combined with a deep learning framework to test the predictive capacity of statistically signific…