A deep learning classifier for local ancestry inference
Date:
Preliminary results towards developing a deep convolutional neural network to predict local ancestry tracts in whole-genome sequence data. Presented as a poster at the “National Library of Medicine Training Informatics Conference” (NLM-ITC) hosted by the University of Washington – more information about the training conference can be found here. This project has been posted as an arXiv preprint.
Advisor: Alexander Ioannidis.