معرفی
Quan Wang, Ph.D., is a Researcher in the Department of Molecular Physiology and Biophysics at Vanderbilt University School of Medicine. His work focuses on integrating computational methods with genomic data to address challenges in cancer biology, neurodegenerative diseases, and precision medicine. Key tools developed include REMR for RNA editing analysis, DeepIRES for mRNA site prediction, and TMBserval for tumor mutation burden modeling.
Research interests center on multi-omics integration, epigenetic regulation, and applying machine learning to drug discovery and disease gene prioritization. He has contributed to studies on glioma stem cells, Alzheimer’s drug repurposing, and schizophrenia risk gene prediction.
Publications highlight advancements in genomic data analysis, including Bayesian frameworks for multi-omics integration and tools like DRAMS for sample quality control. Collaborative efforts span computational biology, cancer genomics, and systems biology, with applications in personalized therapy and disease biomarker identification.
No awards or grants are explicitly listed in the provided text. Advising roles and student mentorship details are not specified here.
