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Covering All Your Bases: Strategies to Expand Training Data for Specialized Genomics Problems

Andrew Carroll
Gunjan Baid
Ren Yi
(2019)

Abstract

We explore three different training strategies to leverage whole-genome sequencing data to improve model performance for the specialized task of variant calling from whole-exome sequencing data: 1) jointly trainIng with both WGS and WES data, 2) warmstarting from a pre-trained WGS model, and 3) including sequencing type as an input to the model.