Application of neural networks methods to define the most important features contributing to xylanase enzyme thermostability. - Mahdi Ebrahimi; Esmaeil Ebrahimie; Tahereh Deihimi; A. Delavari; Manijeh Mohammadi Dehcheshmeh (IEEE Congress on Evolutionary Computation, 2009)

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)

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)

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)

Pattern discovery of long non-coding RNAs associated with the herbal treatments in breast and prostate cancers. - Elham Dalalbashi Esfahani; Esmaeil Ebrahimie; Ali Niazi; Manijeh Mohammadi Dehcheshmeh (Quant. Biol., 2023)

Transcriptomic signature of cancer cachexia by integration of machine learning, literature mining and meta-analysis. - Kening Zhao; Esmaeil Ebrahimie; Manijeh Mohammadi Dehcheshmeh; Mathew G. Lewsey; Lei Zheng; Nick J. Hoogenraad (Comput. Biol. Medicine, 2024)