Combining Spectral Clustering and Large Cut Algorithms to find Compensatory Functional Modules from Yeast Physical and Genetic Interaction Data with GLASS

Abstract

Quals talk:

Various algorithmic and statistical approaches have been proposed to uncover functionally coherent network motifs consisting of sets of genes that may occur as compensatory pathways (called Be- tween Pathway Modules, or BPMs) in a high-throughput S. Cere- visiae genetic interaction network. We extend our previous Local- Cut/Genecentric method to also make use of a spectral clustering of the physical interaction network, and uncover some interesting new fault-tolerant modules.

Please join meeting in Cummings #265.