Computer Science Speaking Skills Talk

Speaking Skills
Ph.D. Student
Computer Science Department
Carnegie Mellon University
Reconstructing the temporal progression of HIV-1 immune response pathways
Monday, April 24, 2017 -
2:00pm to 3:00pm
Traffic21 Classroom 6501 
Gates Hillman Centers

Motivation: Most methods for reconstructing response networks from high throughput data generate static models which cannot distinguish between early and late response stages.

Results: We present TimePath, a new method that integrates time series and static datasets to reconstruct dynamic models of host response to stimulus. TimePath uses an Integer Programming formulation to select a subset of pathways that, together, explain the observed dynamic responses. Applying TimePath to study human response to HIV-1 led to accurate reconstruction of several known regulatory and signaling pathways and to novel mechanistic insights. We experimentally validated several of TimePaths predictions highlighting the usefulness of temporal models.

Presented in Partial Fulfillment of the CSD Speaking Skills Requirement

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