Biology-inspired graph neural network encodes reactome and reveals biochemical reactions of disease.
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| Title: | Biology-inspired graph neural network encodes reactome and reveals biochemical reactions of disease. |
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| Authors: | Burkhart JG; Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI 96813, USA., Wu G; Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA., Song X; Department of Computer Science and Electrical Engineering, Oregon Health & Science University, Portland, OR 97239, USA., Raimondi F; BIO@SNS, Scuola Normale Superiore di Pisa, 56126 Pisa, Italy., McWeeney S; Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA., Wong MH; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA., Deng Y; Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI 96813, USA. |
| Source: | Patterns (New York, N.Y.) [Patterns (N Y)] 2023 May 22; Vol. 4 (7), pp. 100758. Date of Electronic Publication: 2023 May 22 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101767765 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3899 (Electronic) Linking ISSN: 26663899 NLM ISO Abbreviation: Patterns (N Y) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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