Quantitative Modeling of Gene Expression by Using DNA Shape and Accessibility Data

October 19, 2016
2:00 pm - 5:30 pm
Hall C

Track: General
Type: Posters
Level: All

Complex diseases have been linked to altered gene expression due to abnormal DNA sequences. However, the precise relationship is not fully understood. We develop a quantitative model to predict gene expression from DNA sequence, using accessibility and DNA shape data. Results show models incorporating heterogeneous data perform better than sequence-only model, and better elucidate gene regulation.


, PhD candidate, University of Illinois, Urbana-Champaign