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** FRIAM Group Applied Complexity lecture: Friday September 26, 12:15-1:30
p.m. **
LOCATION: SFI Medium Conference Room
TOPIC: Experiments on the Accuracy of Algorithms for Inferring the Structure
of Genetic Regulatory Networks from Microarray Expression Levels.
SPEAKER: Frank Wimberly
AFFILIATION: Institute for Human and Machine Cognition and formerly Carnegie
Mellon University Philosophy Department
ABSTRACT: After reviewing theoretical reasons for doubting that
statistical/machine learning methods can accurately infer gene regulatory
networks from expression measures, we test 10 algorithms on simulated data
from the sea urchin network, and on microarray data for yeast compared with
recent experimental determinations of the regulatory network in the same
yeast species. We find most algorithms are at chance for determining the
existence of a regulatory connection between gene pairs, and the performance
of better algorithms degrades as simulations become more realistic, in
accord with theory.
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