Article

Joint Variational Autoencoders for Multimodal Imputation and Embedding

2022-10-18

Abstract excerpt

Single-cell multimodal datasets have measured various characteristics of individual cells, enabling a deep understanding of cellular and molecular mechanisms. However, multimodal data generation remains costly and challenging, and missing modalities happen frequently. Recently, machine learning approaches have been developed for data imputation but typically require fully matched multimodalities to learn common la...

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Literature Corpus work: bb700b47-a5ee-5a59-ba03-b5a4a75e7d7a
DOI: 10.1101/2022.10.15.512388

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