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M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Heming Zhang, S. Peter Goedegebuure, Li Ding, David DeNardo, Ryan C. Fields, Yixin Chen, Philip Payne, Fuhai Li
doi: https://doi.org/10.1101/2023.06.15.545130
Heming Zhang
1Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University in St. Louis, St. Louis, MO, USA
S. Peter Goedegebuure
2Department of Surgery, Washington University in St. Louis, St. Louis, MO, USA
3Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
Li Ding
3Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
4Department of medicine, Washington University in St. Louis, St. Louis, MO, USA
David DeNardo
3Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
4Department of medicine, Washington University in St. Louis, St. Louis, MO, USA
Ryan C. Fields
2Department of Surgery, Washington University in St. Louis, St. Louis, MO, USA
3Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
Yixin Chen
6Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA
Philip Payne
1Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University in St. Louis, St. Louis, MO, USA
Fuhai Li
1Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University in St. Louis, St. Louis, MO, USA
5Department of Pediatrics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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Posted September 04, 2024.
M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Heming Zhang, S. Peter Goedegebuure, Li Ding, David DeNardo, Ryan C. Fields, Yixin Chen, Philip Payne, Fuhai Li
bioRxiv 2023.06.15.545130; doi: https://doi.org/10.1101/2023.06.15.545130
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