Geoffroy Dubourg-Felonneau

According to our database, Geoffroy Dubourg-Felonneau authored at least 7 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

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

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

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

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

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