
PeerJ Author
35 Points
Contributions by role
Contributions by subject area
Matt Huska
PeerJ Author
Summary
My general research focus is the application of machine learning methods to the understanding of gene regulation. Specifically, I've focused on looking for how much DNA sequence can explain the location of non-methylated regions of the genome, and also the application of semi-supervised learning to the prediction of cis-regulatory elements.
Work details
PhD Student
Max Planck Institute for Molecular Genetics
September 2011
PeerJ Contributions
September 1, 2016 - Version: 1
Matthew R Huska, Anna Ramisch, Martin Vingron, Annalisa Marsico