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2020 – today
- 2021
[i8]Adnan Akbar, Andrey Solovyev, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels. CoRR abs/2105.00469 (2021)
2010 – 2019
- 2019
- [i7]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 abs/1911.09008 (2019) - [i6]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 abs/1911.12774 (2019) - [i5]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 abs/1911.13259 (2019) - [i4]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 abs/1912.02065 (2019) - [i3]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 abs/1912.04174 (2019) - 2018
- [i2]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 abs/1811.10455 (2018) - [i1]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 abs/1811.11674 (2018)
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