Article

Neural Collective Matrix Factorization for Integrated Analysis of Heterogeneous Biomedical Data

2022-01-22

Abstract excerpt

<h4>Motivation</h4> In many biomedical studies, there arises the need to integrate data from multiple directly or indirectly related sources. Collective matrix factorization (CMF) and its variants are models designed to collectively learn from arbitrary collections of matrices. The latent factors learnt are rich integrative representations that can be used in downstream tasks such as clustering or relation predic...

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Literature Corpus work: 0c9560b0-3ef5-502a-8b54-21d86b87daa0
DOI: 10.1101/2022.01.20.477057

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