13 citations · 18 across the 6 of their papers we have counts for
5 papers · 1 filter
New GO-based Measures and Their Statistical Significance in Multiple Network Alignment
Reza Mousapour, Kimia Yazdani, Wayne B. Hayes
Protein-protein interaction (PPI) networks provide valuable insights into the function of biological systems, and aligning multiple PPI networks can reveal important functional rel…
BLANT: Basic Local Alignment of Network Topology, Part 1: Seeding local alignments with unambiguous 8-node graphlets
Patrick Wang, Henry Ye, Wayne B Hayes
BLAST is a standard tool in bioinformatics for creating local sequence alignments using a "seed-and-extend" approach. Here we introduce an analogous seed-and-extend algorithm that…
BLANT: Basic Local Alignment of Network Topology, Part 2: Topology-only Extension Beyond Graphlet Seeds
Tingyin Ding, Utsav Jain, Wayne B. Hayes
BLAST is a standard tool in bioinformatics for creating local sequence alignments using a "seed-and-extend" approach. Here we introduce an analogous seed-and-extend algorithm that…
SANA: Cross-Species Prediction of Gene Ontology GO Annotations via Topological Network Alignment
Siyue Wang, Giles R. S. Atkinson, Wayne B. Hayes
Topological network alignment aims to align two networks node-wise in order to maximize the observed common connection (edge) topology between them. The topological alignment of tw…
On the current failure -- but bright future -- of topology-driven biological network alignment
Siyue Wang, Xiaoyin Chen, Brent J. Frederisy +4
The function of a protein is defined by its interaction partners. Thus, topology-driven network alignment of the protein-protein interaction (PPI) networks of two species should un…