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Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis.

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Title: Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis.
Authors: Azher Z, Fatemi M, Lu Y, Srinivasan G, Diallo A, Christensen B, Salas L, Kolling F, Perreard L, Palisoul S, Vaickus L, Levy J
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Jul 31. Date of Electronic Publication: 2023 Jul 31.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2023 Jul 31. <i>Date of Electronic Publication: </i>2023 Jul 31.
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        Value: 10.1101/2023.07.30.551187
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      – TitleFull: Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis.
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            – D: 31
              M: 07
              Text: 2023 Jul 31
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              Y: 2023
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