Faezeh Bayat

VSS-Hi-C stabilizes variance in Hi-C data to improve visualization and analysis by transforming read counts into unit variance signals.

The paper introduces VSS, a method to stabilize variance in sequencing-based genomic signals, improving downstream applications like SAGA.

This paper identifies cancer subnetwork markers using a multi-objective approach combining differential gene expression and network topology, achieving better classification performance than existing methods.