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Nirmesh Patel

King's College London

18

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95

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DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels

2021 arXiv: Genomics
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Identifying Cancer Drivers Using DRIVE: A Feature-Based Machine Learning Model for a Pan-Cancer Assessment of Somatic Missense Mutations.

2021 Cancers
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Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer.

2019 arXiv: Learning
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Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer

2019 arXiv: Image and Video Processing
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Learning Embeddings from Cancer Mutation Sets for Classification Tasks

2019 arXiv: Learning
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Effective Sub-clonal Cancer Representation to Predict Tumor Evolution

2019 arXiv: Genomics
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A Framework for Implementing Machine Learning on Omics Data.

2018 arXiv: Learning
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Abstract 443: The anion channel GPHR/GPR89 regulates protein-folding homeostasis by regulating the IRE1α pathway in breast cancer

2018 Cancer Research
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Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection.

2018 arXiv: Genomics
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Integrated genomics and functional validation identifies malignant cell specific dependencies in triple negative breast cancer

2018 Nature Communications
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Citations (24)