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mmContext: an open framework for multimodal contrastive learning of omics and text data.

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Title: mmContext: an open framework for multimodal contrastive learning of omics and text data.
Authors: Menger J; Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, 79104, Germany.; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, 79104, Germany., Krissmer SM; Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, 79104, Germany.; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, 79104, Germany., Kreutz C; Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, 79104, Germany.; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, 79104, Germany., Binder H; Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, 79104, Germany.; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, 79104, Germany.; Freiburg Center for Data Analysis, Modeling and AI, University of Freiburg, Freiburg im Breisgau, Germany., Hackenberg M; Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, 79104, Germany.; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, 79104, Germany.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jun 01; Vol. 42 (6).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btag338