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Deep learning multi-omics integration identifies new molecular subtypes of lung cancer.

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Title: Deep learning multi-omics integration identifies new molecular subtypes of lung cancer.
Authors: Gonda B; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA., Wang D; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA., Azim SM; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA., Romano G; Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA, USA.; Immune Cell Regulation & Targeting Program, Sidney Kimmel Comprehensive Cancer Center, Philadelphia, PA, USA., Dehzangi I; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA. i.dehzangi@rutgers.edu.; Department of Computer Science, Rutgers University, Camden, NJ, USA. i.dehzangi@rutgers.edu.; Rutgers Cancer Institute, Rutgers University, New Brunswick, NJ, 08901, USA. i.dehzangi@rutgers.edu.
Source: BioData mining [BioData Min] 2026 May 21; Vol. 19 (1). Date of Electronic Publication: 2026 May 21.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101319161 Publication Model: Electronic Cited Medium: Print ISSN: 1756-0381 (Print) Linking ISSN: 17560381 NLM ISO Abbreviation: BioData Min Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Gonda+B%22">Gonda B</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Wang+D%22">Wang D</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Azim+SM%22">Azim SM</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Romano+G%22">Romano G</searchLink>; Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA, USA.; Immune Cell Regulation & Targeting Program, Sidney Kimmel Comprehensive Cancer Center, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Dehzangi+I%22">Dehzangi I</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA. i.dehzangi@rutgers.edu.; Department of Computer Science, Rutgers University, Camden, NJ, USA. i.dehzangi@rutgers.edu.; Rutgers Cancer Institute, Rutgers University, New Brunswick, NJ, 08901, USA. i.dehzangi@rutgers.edu.
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  Data: <searchLink fieldCode="JN" term="%22101319161%22">BioData mining</searchLink> [BioData Min] 2026 May 21; Vol. 19 (1). <i>Date of Electronic Publication: </i>2026 May 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101319161 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1756-0381 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217560381%22">17560381 </searchLink><i>NLM ISO Abbreviation: </i>BioData Min <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1186/s13040-026-00563-z
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              Text: 2026 May 21
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