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

no code implementations • 27 Nov 2019 • Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W Cassidy, Nirmesh Patel, Harry W Clifford

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 signal.

Clustering Data Compression

Learning Embeddings from Cancer Mutation Sets for Classification Tasks

no code implementations • 20 Nov 2019 • Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W Cassidy, Nirmesh Patel, Harry W Clifford

Thus, the creation of low dimensional representations of somatic mutation profiles that hold useful information about the DNA of cancer cells will facilitate the use of such data in applications that will progress precision medicine.

Classification Clustering +1