Proposing a novel community detection approach to identify cointeracting genomic regions

DOI10.3934/MBE.2020117zbMath1470.92208OpenAlexW2999106968WikidataQ90791973 ScholiaQ90791973MaRDI QIDQ2050014

Samad Nejatian, Karamollah Bagherifard, Hamid Alinejad-Rokny, Abdollah Dehzangi, Mohammadjavad Hosseinpoor, Hamid Parvin, Vahideh Rezaie, Amin Rabiei Beheshti

Publication date: 27 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020117

zbMATH Keywords

multi-objective optimizationmodularitycommunity detectiongenomic interacting regionsgenomics graph interactionhealth data analytics

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Genetics and epigenetics (92D10) Systems biology, networks (92C42)

Cites Work

• A clustering ensemble framework based on elite selection of weighted clusters
• Unnamed Item

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