Space
With relevance to medical centers, pharmaceutical firms and government agencies, the Center’s projects in computational biology include genome research, DNA and protein research, and bio-medical engineering. Often joint projects with Columbia’s Computational Biology Group that develops and applies computational techniques for modeling and understanding biological processes at the molecular level, using statistical and machine learning techniques, including hidden Markov models and support vector machines. Current and recent projects include:
GeneClass: Learning Predictive Models for Gene Regulatory Response From High Throughout Genomic Data
Senior Team Members: Christina Leslie, Yoav Freund, Chris WigginsMachine Learning Approach to Protein Sequence Comparison: Discriminative, semi-supervised, scalable algorithms. National Science Foundation Grant (EIA-0312706).
Senior Team Members: Christina Leslie, William Stafford Noble, Jason WestonMass Spectral Protein Sequencing Using Machine Learning
Senior Team Members: Phil Long, Cliff Stein, Newman Sze, Wing-Kin SungRecognizing Protein Folds With Discriminative Learning
Senior Team Members: Christina Leslie, William Stafford Noble, Jason Weston
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