Albert Kuo

office:CoRE 434
school:The University of Chicago
project:Development of machine learning algorithms in biology

The Project

DIMACS (the Center for Discrete Mathematics and Theoretical Computer Science) was founded as one of 24 Science and Technology Centers funded by the NSF. It hosts a 9-week REU program, which I attended in the summer of 2015.

I worked with Dr. Kevin Chen and explored epigenomic data for predicting enhancers -- sequences in the DNA that regulate gene expression. The machine learning algorithms I used included hidden Markov models (HMMs), support vector machines (SVMs), and logistic regression. I combined various datasets with these models to better understand the relationships between enhancer marks and their role in enhancer prediction.

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