Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer

no code implementations • 6 Dec 2019 • Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W Cassidy, Nirmesh Patel, Harry W Clifford

Although these methods provide greater accuracy, classic neural networks lack the ability to indicate the confidence of a variant call.

Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer

no code implementations • 4 Dec 2019 • Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W Cassidy, Nirmesh Patel, Harry W Clifford

The genomic profile underlying an individual tumor can be highly informative in the creation of a personalized cancer treatment strategy for a given patient; a practice known as precision oncology.

Decision Making