An Information Theoretic Treatment of Sequence-to-expression Modeling, with application to Biological Experiment Design and Experiment Valuation
October 19, 2016
2:00 pm - 5:30 pm
Hall C
Track: General
Type: Posters
Level: All
To model the expression of Drosophila’s ind gene, we use GEMSTAT to find an ensemble of models that closely fit its expression pattern. We estimate a distribution over the model parameter space and measure with an entropy score the ability of the ensemble to predict the results of biological experiments. This framework offers biologists a key tool to identify the most promising experiments.
Speaker(s)
| , Graduate Student, University of Illinois Urbana Champaign
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