Haiyuan Yu
Tisch University Professor, Computational Biology
We perform research in the broad area of Biomedical Systems Biology with both high-throughput experimental and integrative computational methodologies.
Publications
- Dissecting disease inheritance modes in a 3D protein network challenges the "guilt-by-association" principle. American Journal of Human Genetics. 3:78-89. 2013
- Cross-Species Protein Interactome Mapping Reveals Species-Specific Wiring of Stress-Response Pathways. Science Signaling. 6:ra38. 2013
- Detecting overlapping protein complexes in protein-protein interaction networks. Nature Methods. 9:471-472. 2012
- Three-dimensional reconstruction of protein networks provides insight into human genetic disease. Nature Biotechnology. 30:159-164. 2012
- A Bayesian mixture model for comparative spectral count data in shotgun proteomics. Molecular and Cellular Proteomics. 10. 2011
Research Interests
- Quantitative and experimental systems biology
- Statistical genetics
- Comparative genomics
- Machine learning
- Molecular evolution
- Disease prognosis analysis
Graduate Fields
- Biochemistry, Molecular and Cell Biology
- Computational Biology
- Computer Science
- Genetics, Genomics and Development
Courses Taught
- BTRY 4381: Biomedical Data Mining and Modeling
- BTRY 6381: Biomedical Data Mining and Modeling
Contact Information
335 Weill Hall
Ithaca, NY 14853
hy299 [at] cornell.edu
Additional Links
Haiyuan in the news
News
A tool co-developed by Cornell researchers uses AI and machine learning to solve and predict how human proteins might interface and interact with other proteins, which can greatly accelerate fundamental research and clinical precision medicine.
- Computational Biology
- Molecular Biology and Genetics
- Biology
News
A new study testing the accuracy of existing methods used to predict the genetic variation that cause infertility found that relying on computational or in vitro experiments alone is insufficient.
- Computational Biology
- Biology
- Genetics