6 citations · 17 across the 8 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
q-bio.GN2018★ 2 cited
Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection
Luke R Harries, Suyi Zhang, Geoffroy Dubourg-Felonneau +7
DNA sequencing to identify genetic variants is becoming increasingly valuable in clinical settings. Assessment of variants in such sequencing data is commonly implemented through B…
cs.LG2018★ 6 cited
A Framework for Implementing Machine Learning on Omics Data
Geoffroy Dubourg-Felonneau, Timothy Cannings, Fergal Cotter +4
The potential benefits of applying machine learning methods to -omics data are becoming increasingly apparent, especially in clinical settings. However, the unique characteristics…