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Genes & Genetic Systems|January 20, 2016
WCOACH: Protein complex prediction in weighted PPI networksMorteza Kouhsar, Fatemeh Zare-Mirakabad, Yousef Jamali
Genes & Genetic Systems|July 22, 2016
Corrigendum: MWCOACH: Protein complex prediction in weighted PPI networks [Genes Genet. Syst. (2015) 90, p. 317-324]Morteza Kouhsar, Fatemeh Zare-Mirakabad, Yousef Jamali
Computers in Biology and Medicine|July 4, 2017
A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detectionAdele Mehranfar, Nasser Ghadiri, Morteza Kouhsar, et al.
BMC Microbiology|December 18, 2020
The identification of co-expressed gene modules in Streptococcus pneumonia from colonization to infection to predict novel potential virulence genesSadegh Azimzadeh Jamalkandi, Morteza Kouhsar, Jafar Salimian, et al.
BMC Bioinformatics|August 11, 2022
CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learningMorteza Kouhsar, Esra Kashaninia, Behnam Mardani, et al.
Scientific Reports|June 12, 2019
Detection of novel biomarkers for early detection of Non-Muscle-Invasive Bladder Cancer using Competing Endogenous RNA network analysisMorteza Kouhsar, Sadegh Azimzadeh Jamalkandi, Ali Moeini, et al.
Computers in Biology and Medicine|July 26, 2016
CeFunMO: A centrality based method for discovering functional motifs with application in biological networksMorteza Kouhsar, Zahra Razaghi-Moghadam, Zaynab Mousavian, et al.
Molecular Biosystems|September 2, 2017
mRNA-miRNA bipartite network reconstruction to predict prognostic module biomarkers in colorectal cancer stage differentiationHabib Motieghader, Morteza Kouhsar, Ali Najafi, et al.
Iranian Journal of Public Health|June 26, 2024
Inhibition of Mir-21-5p Affects the Expression of LNCRNA X-Inactive Specific Transcript and Induces Apoptosis in MCF-7 Breast Cancer CellsSamaneh Nejaddehghan, Seyed Jalal Zargar, Mana Oloomi, et al.
Computers in Biology and Medicine|May 26, 2019
Systematic analysis of genes and diseases using PheWAS-Associated networksAli Khosravi, Morteza Kouhsar, Bahram Goliaei, et al.
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