OpenURL Connection Search

Select item for more details and to access through your institution.

The Prognostic Value of ASPHD1 and ZBTB12 in Colorectal Cancer: A Machine Learning-Based Integrated Bioinformatics Approach.
Published in:
Cancers, 2023, v. 15, n. 17, p. 4300, doi. 10.3390/cancers15174300
By:
- Asadnia, Alireza;
- Nazari, Elham;
- Goshayeshi, Ladan;
- Zafari, Nima;
- Moetamani-Ahmadi, Mehrdad;
- Goshayeshi, Lena;
- Azari, Haneih;
- Pourali, Ghazaleh;
- Khalili-Tanha, Ghazaleh;
- Abbaszadegan, Mohammad Reza;
- Khojasteh-Leylakoohi, Fatemeh;
- Bazyari, MohammadJavad;
- Kahaei, Mir Salar;
- Ghorbani, Elnaz;
- Khazaei, Majid;
- Hassanian, Seyed Mahdi;
- Gataa, Ibrahim Saeed;
- Kiani, Mohammad Ali;
- Peters, Godefridus J.;
- Ferns, Gordon A.
Publication type:
Article
Therapeutic Potential of Targeting the Cytochrome P450 Enzymes Using Lopinavir/Ritonavir in Colorectal Cancer: A Study in Monolayers, Spheroids and In Vivo Models.
Published in:
Cancers, 2023, v. 15, n. 15, p. 3939, doi. 10.3390/cancers15153939
By:
- Alaei, Maryam;
- Nazari, Seyedeh Elnaz;
- Pourali, Ghazaleh;
- Asadnia, AliReza;
- Moetamani-Ahmadi, Mehrdad;
- Fiuji, Hamid;
- Tanzadehpanah, Hamid;
- Asgharzadeh, Fereshteh;
- Babaei, Fatemeh;
- Khojasteh-Leylakoohi, Fatemeh;
- Saeed Gataa, Ibrahim;
- Ali Kiani, Mohammad;
- Ferns, Gordon A.;
- Lam, Alfred King-yin;
- Hassanian, Seyed Mahdi;
- Khazaei, Majid;
- Giovannetti, Elisa;
- Avan, Amir
Publication type:
Article
Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease.
Published in:
Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-46711-x
By:
- Nazari, Elham;
- Khalili-Tanha, Ghazaleh;
- Asadnia, Alireza;
- Pourali, Ghazaleh;
- Maftooh, Mina;
- Khazaei, Majid;
- Nasiri, Mohammadreza;
- Hassanian, Seyed Mahdi;
- Ghayour-Mobarhan, Majid;
- Ferns, Gordon A.;
- Kiani, Mohammad Ali;
- Avan, Amir
Publication type:
Article
Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer.
Published in:
Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-42928-y
By:
- Khojasteh-Leylakoohi, Fatemeh;
- Mohit, Reza;
- Khalili-Tanha, Nima;
- Asadnia, Alireza;
- Naderi, Hamid;
- Pourali, Ghazaleh;
- Yousefli, Zahra;
- Khalili-Tanha, Ghazaleh;
- Khazaei, Majid;
- Maftooh, Mina;
- Nassiri, Mohammadreza;
- Hassanian, Seyed Mahdi;
- Ghayour-Mobarhan, Majid;
- Ferns, Gordon A.;
- Shahidsales, Soodabeh;
- Lam, Alfred King-yin;
- Giovannetti, Elisa;
- Nazari, Elham;
- Batra, Jyotsna;
- Avan, Amir
Publication type:
Article
Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer.
Published in:
Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-32332-x
By:
- Azari, Hanieh;
- Nazari, Elham;
- Mohit, Reza;
- Asadnia, Alireza;
- Maftooh, Mina;
- Nassiri, Mohammadreza;
- Hassanian, Seyed Mahdi;
- Ghayour-Mobarhan, Majid;
- Shahidsales, Soodabeh;
- Khazaei, Majid;
- Ferns, Gordon A.;
- Avan, Amir
Publication type:
Article

Found: 5

The Prognostic Value of ASPHD1 and ZBTB12 in Colorectal Cancer: A Machine Learning-Based Integrated Bioinformatics Approach.

Therapeutic Potential of Targeting the Cytochrome P450 Enzymes Using Lopinavir/Ritonavir in Colorectal Cancer: A Study in Monolayers, Spheroids and In Vivo Models.

Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease.

Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer.

Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer.