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20182021
most citedLearning Embeddings from Cancer Mutation Sets for Classification Tasks

4 citations · 9 across the 5 of their papers we have counts for

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eess.IV2019★ 2 cited

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

Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham +3

In this study, we present Flatsomatic - a Variational Auto Encoder (VAE) optimized to compress somatic mutations that allow for unbiased data compression whilst maintaining the sig…