
About
Professor Yuanfang Guan is affiliated with the University of Michigan in the Department of Computational Medicine and Bioinformatics. Their research focuses on bioinformatics and computational biology applications in medical research.
Key research areas include:
- Computational oncology with emphasis on tumor subclonal reconstruction
- AI applications in clinical pharmacology and drug response prediction
- Machine learning for neurogenetic disorders like SCA3
- Development of digital health measures for neurological diseases
- Single-cell sequencing data analysis and quality control
- Epigenomic data imputation and genomic feature analysis
Recent publications highlight collaborative projects on LSD1 inhibitors for sickle cell disease, long COVID prediction models, and optimization of genomic deep learning. Their work involves algorithm development for cancer evolution analysis, disease biomarker identification, and AI-driven biomedical applications.
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