mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development
- Heming Zhang
- , Dekang Cao
- , Zirui Chen
- , Xiuyuan Zhang
- , Yixin Chen
- , Cole Sessions
- , Carlos Cruchaga
- , Philip Payne
- , Guangfu Li
- , Michael Province
- , Fuhai Li
- Department of Computer Science & Engineering
- Institute of Clinical and Translational Sciences (ICTS)
- Division of Basic Science Research
- Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
- DBBS - Biomedical Informatics and Data Science
- DBBS - Human and Statistical Genetics
- DBBS - Molecular Genetics and Genomics
- DBBS - Neurosciences
- McDonnell Genome Institute (MGI)
- Bursky Center for Human Immunology and Immunotherapy
- Hope Center for Neurological Disorders
- NeuroGenomics and Informatics Center
- COVID-19 Researchers
- School of Medicine
- DBBS - Biochemistry, Biophysics, and Structural Biology
- DBBS - Computational and Systems Biology
- Institute for Informatics, Data Science and Biostatistics (I2DB)
- Intellectual and Developmental Disabilities Research Center (IDDRC)
- Neurofibromatosis (NF) Center
- Center for Applied Health Informatics (CAHI)
- Siteman Cancer Center
- Department of Genetics
- Edison Family Center for Genome Sciences & Systems Biology
- Division of Newborn Medicine
- DBBS - Cancer Biology
- Center for Translational Bioinformatics (CTBI)
Research output: Contribution to journal › Article › peer-review
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