Geoffroy Dubourg-Felonneau

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 7

Top Topics

Machine Learning

Early Detection

Recurrent Neural Networks

Top Venues

Publications

Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W. Cassidy, Nirmesh Patel, Harry W. Clifford
Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. CoRR (2019)
Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W. Cassidy, Nirmesh Patel, Harry W. Clifford
Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer. CoRR (2019)
Adnan Akbar, Geoffroy Dubourg-Felonneau, Andrey Solovyev, John W. Cassidy, Nirmesh Patel, Harry W. Clifford
Effective Sub-clonal Cancer Representation to Predict Tumor Evolution. CoRR (2019)
Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W. Cassidy, Nirmesh Patel, Harry W. Clifford
Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. CoRR (2019)
Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W. Cassidy, Nirmesh Patel, Harry W. Clifford
Learning Embeddings from Cancer Mutation Sets for Classification Tasks. CoRR (2019)
Geoffroy Dubourg-Felonneau, Timothy I. Cannings, Fergal Cotter, Hannah Thompson, Nirmesh Patel, John W. Cassidy, Harry W. Clifford
A Framework for Implementing Machine Learning on Omics Data. CoRR (2018)
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
Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection. CoRR (2018)