Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network Alignment

Rong, Shiyue; Wang, Weisheng; Ly, Viet; Khosravi, Pasha; Wu, William; Jing, Chen; Hayes, Wayne B.

doi:10.1109/tevc.2022.3153286

IEEE Trans. Evol. Computat.

2022

DOI: 10.1109/tevc.2022.3153286

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Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network Alignment

Shiyue Rong

Weisheng Wang

Viet Ly

et al.

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2024

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New GO-based measures in multiple network alignment

Yazdani,

Mousapour,

Hayes

2024

Bioinformatics

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Motivation Protein-protein interaction (PPI) networks provide valuable insights into the function of biological systems. Aligning multiple PPI networks may expose relationships beyond those observable by pairwise comparisons. However, assessing the biological quality of multiple network alignments is a challenging problem. Results We propose two new measures to evaluate the quality of multiple network alignments using functional information from Gene Ontology (GO) terms. When aligning multiple real PPI networks across species, we observe that both measures are highly correlated with objective quality indicators, such as common orthologs. Additionally, our measures strongly correlate with an alignment’s ability to predict novel GO annotations, which is a unique advantage over existing GO-based measures. Availability and Implementation The scripts and the links to the raw and alignment data can be accessed at https://github.com/kimiayazdani/GO_Measures.git.

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New GO-based measures in multiple network alignment

Yazdani,

Mousapour,

Hayes

2024

Bioinformatics

View full text Add to dashboard Cite

show abstract

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Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network Alignment

Cited by 1 publication

References 33 publications

New GO-based measures in multiple network alignment

New GO-based measures in multiple network alignment

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