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Reza Ferdousi

Showing results (1-10 of 29) with videos related to

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Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|November 26, 2019
A Review of Machine Learning Approaches in Assisted Reproductive TechnologiesBehnaz Raef, Reza Ferdousi
BMC Bioinformatics|February 28, 2024
HormoNet: a deep learning approach for hormone-drug interaction predictionNeda Emami, Reza Ferdousi
Scientific Reports|March 17, 2021
AptaNet as a deep learning approach for aptamer-protein interaction predictionNeda Emami, Reza Ferdousi
Briefings in Bioinformatics|March 24, 2022
A review of machine learning approaches for drug synergy prediction in cancerAnna Torkamannia, Yadollah Omidi, Reza Ferdousi
Scientific Reports|April 15, 2023
SYNDEEP: a deep learning approach for the prediction of cancer drugs synergyAnna Torkamannia, Yadollah Omidi, Reza Ferdousi
Journal of Biomedical Informatics|May 4, 2017
Computational prediction of drug-drug interactions based on drugs functional similaritiesReza Ferdousi, Reza Safdari, Yadollah Omidi
Health Informatics Journal|December 13, 2019
Computational prediction of implantation outcome after embryo transferBehnaz Raef, Masoud Maleki, Reza Ferdousi
Bioimpacts : BI|May 5, 2020
Identification and ranking of important bio-elements in drug-drug interaction by Market Basket AnalysisReza Ferdousi, Ali Akbar Jamali, Reza Safdari
Journal of Theoretical Biology|April 21, 2020
Computational predictive approaches for interaction and structure of aptamersNeda Emami, Parvin Samadi Pakchin, Reza Ferdousi
Molecular Therapy. Nucleic Acids|April 2, 2025
Computational approaches for identifying neuropeptides: A comprehensive reviewRoya Rahmani, Leila R Kalankesh, Reza Ferdousi
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|November 26, 2019
A Review of Machine Learning Approaches in Assisted Reproductive TechnologiesBehnaz Raef, Reza Ferdousi
BMC Bioinformatics|February 28, 2024
HormoNet: a deep learning approach for hormone-drug interaction predictionNeda Emami, Reza Ferdousi
Scientific Reports|March 17, 2021
AptaNet as a deep learning approach for aptamer-protein interaction predictionNeda Emami, Reza Ferdousi
Briefings in Bioinformatics|March 24, 2022
A review of machine learning approaches for drug synergy prediction in cancerAnna Torkamannia, Yadollah Omidi, Reza Ferdousi
Scientific Reports|April 15, 2023
SYNDEEP: a deep learning approach for the prediction of cancer drugs synergyAnna Torkamannia, Yadollah Omidi, Reza Ferdousi
Journal of Biomedical Informatics|May 4, 2017
Computational prediction of drug-drug interactions based on drugs functional similaritiesReza Ferdousi, Reza Safdari, Yadollah Omidi
Health Informatics Journal|December 13, 2019
Computational prediction of implantation outcome after embryo transferBehnaz Raef, Masoud Maleki, Reza Ferdousi
Bioimpacts : BI|May 5, 2020
Identification and ranking of important bio-elements in drug-drug interaction by Market Basket AnalysisReza Ferdousi, Ali Akbar Jamali, Reza Safdari
Journal of Theoretical Biology|April 21, 2020
Computational predictive approaches for interaction and structure of aptamersNeda Emami, Parvin Samadi Pakchin, Reza Ferdousi
Molecular Therapy. Nucleic Acids|April 2, 2025
Computational approaches for identifying neuropeptides: A comprehensive reviewRoya Rahmani, Leila R Kalankesh, Reza Ferdousi
Pageof 3