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Scientific Reports|November 22, 2023
Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver diseaseElham Nazari, Ghazaleh Khalili-Tanha, Alireza Asadnia, et al.The Turkish Journal of Gastroenterology : the Official Journal of Turkish Society of Gastroenterology|May 27, 2015
Low incidence of alpha-1-antitrypsin deficiency in Iranian patients with neonatal cholestasisFarzaneh Motamed, Sanaz Mehrabani, Maryam Monajemzadeh, et al.Journal of Cell Communication and Signaling|July 10, 2023
Identification of ZMYND19 as a novel biomarker of colorectal cancer: RNA-sequencing and machine learning analysisGhazaleh Khalili-Tanha, Reza Mohit, Alireza Asadnia, et al.Cancers|January 25, 2025
Correction: Alaei et al. Therapeutic Potential of Targeting the Cytochrome P450 Enzymes Using Lopinavir/Ritonavir in Colorectal Cancer: A Study in Monolayers, Spheroids and In Vivo Models. <i>Cancers</i> 2023, <i>15</i>, 3939Maryam Alaei, Seyedeh Elnaz Nazari, Ghazaleh Pourali, et al.Cancers|August 12, 2023
Therapeutic Potential of Targeting the Cytochrome P450 Enzymes Using Lopinavir/Ritonavir in Colorectal Cancer: A Study in Monolayers, Spheroids and In Vivo ModelsMaryam Alaei, Seyedeh Elnaz Nazari, Ghazaleh Pourali, et al.Cancers|September 9, 2023
The Prognostic Value of <i>ASPHD1</i> and <i>ZBTB12</i> in Colorectal Cancer: A Machine Learning-Based Integrated Bioinformatics ApproachAlireza Asadnia, Elham Nazari, Ladan Goshayeshi, et al.Pageof 4