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For: Masoudi-Sobhanzadeh Y, Masoudi-Nejad A. Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm. BMC Bioinformatics 2020;21:313. [PMID: 32677879 DOI: 10.1186/s12859-020-03644-w] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Masoudi-sobhanzadeh Y, Emami-moghaddam S. A real-time IoT-based botnet detection method using a novel two-step feature selection technique and the support vector machine classifier. Computer Networks 2022;217:109365. [DOI: 10.1016/j.comnet.2022.109365] [Reference Citation Analysis]
2 Masoudi-sobhanzadeh Y, Gholaminejad A, Gheisari Y, Roointan A. Discovering driver nodes in chronic kidney disease-related networks using Trader as a newly developed algorithm. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105892] [Reference Citation Analysis]
3 Masoudi-Sobhanzadeh Y, Esmaeili H, Masoudi-Nejad A. A fuzzy logic-based computational method for the repurposing of drugs against COVID-19. Bioimpacts 2022;12:315-24. [PMID: 35975205 DOI: 10.34172/bi.2021.40] [Reference Citation Analysis]
4 Masoudi-Sobhanzadeh Y, Jafari B, Parvizpour S, Pourseif MM, Omidi Y. A novel multi-objective metaheuristic algorithm for protein-peptide docking and benchmarking on the LEADS-PEP dataset. Comput Biol Med 2021;138:104896. [PMID: 34601392 DOI: 10.1016/j.compbiomed.2021.104896] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
5 Pop L, Zanoaga O, Chiroi P, Nutu A, S. Korban S, Stefan C, Irimie A, Berindan-neagoe I. Microarrays and NGS for Drug Discovery. Drug Design - Novel Advances in the Omics Field and Applications 2021. [DOI: 10.5772/intechopen.96657] [Reference Citation Analysis]
6 Masoudi-Sobhanzadeh Y, Salemi A, Pourseif MM, Jafari B, Omidi Y, Masoudi-Nejad A. Structure-based drug repurposing against COVID-19 and emerging infectious diseases: methods, resources and discoveries. Brief Bioinform 2021:bbab113. [PMID: 33993214 DOI: 10.1093/bib/bbab113] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
7 Zhu S. Smart Online University Party Building System Based on Association Rules Data Mining. 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) 2021. [DOI: 10.1109/iccmc51019.2021.9418338] [Reference Citation Analysis]
8 Masoudi-Sobhanzadeh Y, Motieghader H, Omidi Y, Masoudi-Nejad A. A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications. Sci Rep 2021;11:3349. [PMID: 33558580 DOI: 10.1038/s41598-021-82796-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
9 Zhou T, Tang Y, Gong L, Xie H, Shan M, Wang L. MIC Model for Cervical Cancer Risk Factors Deep Association Analysis. Computational Data and Social Networks 2021. [DOI: 10.1007/978-3-030-91434-9_14] [Reference Citation Analysis]
10 Arabi Bulaghi Z, Habibizad Navin A, Hosseinzadeh M, Rezaee A. World competitive contest-based artificial neural network: A new class-specific method for classification of clinical and biological datasets. Genomics 2021;113:541-52. [PMID: 32991962 DOI: 10.1016/j.ygeno.2020.09.047] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]