Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes
- Kelly E. Regan-Fendt
- , Jielin Xu
- , Mallory DiVincenzo
- , Megan C. Duggan
- , Reena Shakya
- , Ryejung Na
- , William E. Carson
- , Philip R.O. Payne
- , Fuhai Li
- Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
- Institute for Informatics, Data Science and Biostatistics (I2DB)
- Institute of Clinical and Translational Sciences (ICTS)
- Neurofibromatosis (NF) Center
- Siteman Cancer Center
- Division of Newborn Medicine
- School of Medicine
- DBBS - Computational and Systems Biology
- DBBS - Biomedical Informatics and Data Science
- DBBS - Biochemistry, Biophysics, and Structural Biology
- Intellectual and Developmental Disabilities Research Center (IDDRC)
- DBBS - Cancer Biology
- Center for Translational Bioinformatics (CTBI)
Research output: Contribution to journal › Article › peer-review
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