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ORCIDManijeh Mohammadi Dehcheshmeh
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2020 – today
- 2024
[j5]Kening Zhao
, Esmaeil Ebrahimie, Manijeh Mohammadi Dehcheshmeh, Mathew G. Lewsey, Lei Zheng, Nick J. Hoogenraad:
Transcriptomic signature of cancer cachexia by integration of machine learning, literature mining and meta-analysis. Comput. Biol. Medicine 172: 108233 (2024)- 2023
- [j4]Elham Dalalbashi Esfahani, Esmaeil Ebrahimie, Ali Niazi, Manijeh Mohammadi Dehcheshmeh:
Pattern discovery of long non-coding RNAs associated with the herbal treatments in breast and prostate cancers. Quant. Biol. 11(3): 343-358 (2023) - 2021
- [j3]Esmaeil Ebrahimie, Fatemeh Zamansani, Ibrahim O. Alanazi, Essa M. Sabi, Manouchehr Khazandi, Faezeh Ebrahimi, Manijeh Mohammadi Dehcheshmeh, Mansour Ebrahimi:
Advances in understanding the specificity function of transporters by machine learning. Comput. Biol. Medicine 138: 104893 (2021)
2010 – 2019
- 2019
- [j2]Mansour Ebrahimi, Manijeh Mohammadi Dehcheshmeh, Esmaeil Ebrahimie, Kiro R. Petrovski:
Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models. Comput. Biol. Medicine 114 (2019) - 2014
- [j1]Zahra Zinati, Fatemeh Zamansani, Amir Hossein KayvanJoo, Mahdi Ebrahimi, Mansour Ebrahimi, Esmaeil Ebrahimie, Manijeh Mohammadi Dehcheshmeh:
New layers in understanding and predicting α-linolenic acid content in plants using amino acid characteristics of omega-3 fatty acid desaturase. Comput. Biol. Medicine 54: 14-23 (2014)
2000 – 2009
- 2009
- [c1]Mahdi Ebrahimi, Esmaeil Ebrahimie, Tahereh Deihimi, A. Delavari, Manijeh Mohammadi Dehcheshmeh:
Application of neural networks methods to define the most important features contributing to xylanase enzyme thermostability. IEEE Congress on Evolutionary Computation 2009: 2885-2891
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