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DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration
View ORCID ProfileSara Althubaiti, View ORCID ProfileMaxat Kulmanov, View ORCID ProfileYang Liu, View ORCID ProfileGeorgios V Gkoutos, View ORCID ProfilePaul Schofield, View ORCID ProfileRobert Hoehndorf
doi: https://doi.org/10.1101/2021.03.02.433454
Sara Althubaiti
1Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
Maxat Kulmanov
1Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
Yang Liu
1Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
Georgios V Gkoutos
2College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, B15 2TT, Birmingham, United Kingdom, and Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, B15 2TT, Birmingham, United Kingdom, and NIHR Biomedical Research Centre, B15 2TT, Birmingham, United Kingdom, and NIHR Experimental Cancer Medicine Centre, B15 2TT, Birmingham, United Kingdom, and MRC Health Data Research UK (HDR UK) Midlands, B15 2TT, Birmingham, United Kingdom
Paul Schofield
3Department of Physiology, Development, and Neuroscience, University of Cambridge, Downing Street, CB23EG, Cambridge, UK
Robert Hoehndorf
1Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
Posted March 02, 2021.
DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration
Sara Althubaiti, Maxat Kulmanov, Yang Liu, Georgios V Gkoutos, Paul Schofield, Robert Hoehndorf
bioRxiv 2021.03.02.433454; doi: https://doi.org/10.1101/2021.03.02.433454
DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration
Sara Althubaiti, Maxat Kulmanov, Yang Liu, Georgios V Gkoutos, Paul Schofield, Robert Hoehndorf
bioRxiv 2021.03.02.433454; doi: https://doi.org/10.1101/2021.03.02.433454
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