A Framework for Implementing Machine Learning on Omics Data. - Geoffroy Dubourg-Felonneau; Timothy I. Cannings; Fergal Cotter; Hannah Thompson; Nirmesh Patel; John W. Cassidy; Harry W. Clifford (CoRR, 2018)

Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection. - Luke R. Harries; Suyi Zhang; Geoffroy Dubourg-Felonneau; James H. R. Farmery; Jonathan Sinai; Belle Taylor; Nirmesh Patel; John W. Cassidy; John Shawe-Taylor; Harry W. Clifford (CoRR, 2018)

Learning Embeddings from Cancer Mutation Sets for Classification Tasks. - Geoffroy Dubourg-Felonneau; Yasmeen Kussad; Dominic Kirkham; John W. Cassidy; Nirmesh Patel; Harry W. Clifford (CoRR, 2019)

Effective Sub-clonal Cancer Representation to Predict Tumor Evolution. - Adnan Akbar; Geoffroy Dubourg-Felonneau; Andrey Solovyev; John W. Cassidy; Nirmesh Patel; Harry W. Clifford (CoRR, 2019)

Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer. - Geoffroy Dubourg-Felonneau; Yasmeen Kussad; Dominic Kirkham; John W. Cassidy; Nirmesh Patel; Harry W. Clifford (CoRR, 2019)

Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. - Geoffroy Dubourg-Felonneau; Omar Darwish; Christopher Parsons; Dami Rebergen; John W. Cassidy; Nirmesh Patel; Harry W. Clifford (CoRR, 2019)

Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. - Geoffroy Dubourg-Felonneau; Omar Darwish; Christopher Parsons; Dami Rebergen; John W. Cassidy; Nirmesh Patel; Harry W. Clifford (CoRR, 2019)