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Zahra Ghorbanali

Showing results (1-10 of 6) with videos related to

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Scientific Reports|June 28, 2026
Exploring feature limitations in antimicrobial resistance prediction: machine learning and deep learning in A. baumanniiZahra Seraj, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, et al.
BMC Bioinformatics|October 3, 2023
DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposingZahra Ghorbanali, Fatemeh Zare-Mirakabad, Najmeh Salehi, et al.
Journal of Chemical Information and Modeling|April 6, 2023
DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge GraphsZahra Ghorbanali, Fatemeh Zare-Mirakabad, Mohammad Akbari, et al.
ACS Omega|December 4, 2023
BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity RepresentationMehdi Paykan Heyrati, Zahra Ghorbanali, Mohammad Akbari, et al.
Plos Computational Biology|August 29, 2025
SimPep and OP-AND: A deep learning framework and curated database for predicting osteogenic peptidesMaryam Ghobakhloo, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, et al.
Journal of Medical Signals and Sensors|January 29, 2026
Diagnosing Multiple Sclerosis from Magnetic Resonance Imaging Images: Highlights from the Second Isfahan Artificial Intelligence Event 2024Fariba Davanian, Iman Adibi, Mahnoosh Tajmirriahi, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|June 28, 2026
Exploring feature limitations in antimicrobial resistance prediction: machine learning and deep learning in A. baumanniiZahra Seraj, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, et al.
BMC Bioinformatics|October 3, 2023
DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposingZahra Ghorbanali, Fatemeh Zare-Mirakabad, Najmeh Salehi, et al.
Journal of Chemical Information and Modeling|April 6, 2023
DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge GraphsZahra Ghorbanali, Fatemeh Zare-Mirakabad, Mohammad Akbari, et al.
ACS Omega|December 4, 2023
BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity RepresentationMehdi Paykan Heyrati, Zahra Ghorbanali, Mohammad Akbari, et al.
Plos Computational Biology|August 29, 2025
SimPep and OP-AND: A deep learning framework and curated database for predicting osteogenic peptidesMaryam Ghobakhloo, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, et al.
Journal of Medical Signals and Sensors|January 29, 2026
Diagnosing Multiple Sclerosis from Magnetic Resonance Imaging Images: Highlights from the Second Isfahan Artificial Intelligence Event 2024Fariba Davanian, Iman Adibi, Mahnoosh Tajmirriahi, et al.
Pageof 1