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Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in Oncology

2024-01-23

Abstract excerpt

Characterizing cancer poses a delicate challenge as it involves deciphering complex biological interactions within the tumor's microenvironment. Histology images and molecular profiling of tumors are often available in clinical trials and can be leveraged to understand these interactions. However, despite recent advances in representing multimodal data for weakly supervised tasks in the medical domain, numerous ch...

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Literature Corpus work
3ab447fb-fc81-52c8-b513-a22bfbdd5736
DOI
10.1101/2024.01.20.576363
Open publication

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Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in OncologyDOI 10.1101/2024.01.20.576363
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