New layers in understanding and predicting α-linolenic acid content in plants using amino acid characteristics of omega-3 fatty acid desaturase. - Zahra Zinati; Fatemeh Zamansani; Amir Hossein KayvanJoo; Mahdi Ebrahimi; Mansour Ebrahimi; Esmaeil Ebrahimie; Manijeh Mohammadi Dehcheshmeh (Comput. Biol. Medicine, 2014)

Hierarchical pattern recognition in milking parameters predicts mastitis prevalence. - Esmaeil Ebrahimie; Faezeh Ebrahimi; Mansour Ebrahimi; Sarah Tomlinson; Kiro R. Petrovski (Comput. Electron. Agric., 2018)

Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models. - Mansour Ebrahimi; Manijeh Mohammadi Dehcheshmeh; Esmaeil Ebrahimie; Kiro R. Petrovski (Comput. Biol. Medicine, 2019)

Image processing techniques represent innovative tools for comparative analysis of proteins. - Reza Ahsan; Mansour Ebrahimi (Comput. Biol. Medicine, 2020)

Image processing unravels the evolutionary pattern of SARS-CoV-2 against SARS and MERS through position-based pattern recognition. - Reza Ahsan; Mohammad Reza Tahsili; Faezeh Ebrahimi; Esmaeil Ebrahimie; Mansour Ebrahimi (Comput. Biol. Medicine, 2021)

Advances in understanding the specificity function of transporters by machine learning. - Esmaeil Ebrahimie; Fatemeh Zamansani; Ibrahim O. Alanazi; Essa M. Sabi; Manouchehr Khazandi; Faezeh Ebrahimi; Manijeh Mohammadi Dehcheshmeh; Mansour Ebrahimi (Comput. Biol. Medicine, 2021)