Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology
By Rohit Singh, Jinbo Xu, Bonnie Berger. Annual International Conference on Research in Computational Molecular Biology, 2007
337 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ea12e4507dc4da7c75481bd6c42b2409ff9a0190
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Molecular Biology
- Lenore J. Cowen
- Bonnie Berger
- Rohit Singh
- Samuel Sledzieski
- Kapil Devkota
- Philip S. Yu
- Xueqi Cheng
- Jiawei Zhang
Citations in the corpus
- IsoRankN: spectral methods for global alignment of multiple protein networks (2009, background): “Most notably, these include NetworkBLAST-M (Kalaev et al ., 2008), Græmlin 2.0 (Flannick et al ., 2008) and IsoRank (Singh 2003, 2004; Koyuturk et al ., 2005; Sharan et al ., 2005; Srinivasan et al ., 2006).”
- Inferring anchor links across multiple heterogeneous social networks (2013, background): “Network alignment problem has also been studied by many works in recent years, which has many applications bioinformatics [11, 19].”
- Predict Anchor Links across Social Networks via an Embedding Approach (2016, background): “…approaches cope with the anchor link prediction problem as a problem of network alignment, which is generally an NP-hard combinatorial optimization problem [Singh et al. , 2007; Klau, 2009; Kollias et al. , 2012], and solve it by finding certain structural similarity between nodes across networks.”
- Topsy-Turvy: integrating a global view into sequence-based PPI prediction (2022, result): “As our dataset and evaluation approach is the same as in Sledzieski et al. (2021), we also include results reported there for two other state-of-the-art sequence-based PPI prediction methods, PIPR (Chen et al.”
- PageRank beyond the Web (2014, background): “Singh et al. [2007] proposes a PageRank problem to estimate how much of a match the two nodes are in a diffusion sense.”