“Papers of School of Biological Sciences”

 

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  21. F. Eskandari, R. Hosseinpour Samim Mamaghani and Vahid Rezaei Tabar,
Bayesian Shrinkage Estimators of Quality Parameters in Ultrahigh-Dimensional Generalized Linear Models.,
Journal of Quality Engineering and Management (2023),   [abstract]

   22. S.S.. Azimi, Ashraf Samavat Sama, V. Rezaei Tabar and H. Soori,
Effectiveness of the preventive intervention of Chromosomal Disorders of Iran's community genetics program: application of Bayesian Network,
Medical Journal of The Islamic Republic of Iran (MJIRI) (2023),   [abstract]

   23. H. Zareifard, V. Rezaei Tabar and D. Plewczynski,
A Bayesian Approach for Learning Bayesian Network Structures,
Journal of Statistical Computation and Simulation (2023),   [abstract]

   24. R. Masumshah and C. Eslahchi,
DPSP: a multimodal deep learning framework for polypharmacy side effects prediction,
Bioinformatics Advances (2023),   [abstract]

DOI: https://doi.org/10.1093/bioadv/vbad110

   25. Z. Ghorbanali, F. Zare-Mirakabad, M. Akbari, N. Salehi and A. Masoudi-Nejad,
DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge Graphs,
Journal of Chemical Information and Modeling (2023),   [abstract]
DOI: https://doi.org/10.1021/acs.jcim.2c01291

   26. Z. Moosavi-Movahedi, N. Salehi, M. Habibi-Rezaei, F. Qassemi and M H. Karimi-Jafari,
Intermediate-aided allostery mechanism for a-glucosidase by Xanthene-11v as an inhibitor using residue interaction network analysis,
Journal of Molecular Graphics and Modelling (2023),   [abstract]
DOI: https://doi.org/10.1016/j.jmgm.2023.108495

   27. H. Khojasteh, J. Pirgazi and A. Ghanbari Sorkhi,
Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques,
PLOS ONE (2023),   [abstract]

   28. S. Saboori-Darabi, P. Carrera, A. Akbari, A. Amiri-Yekta, N. Almadani, G. Battista Pipitone, E. Shahrokh-Tehraninejad, M. Lotfi, M. Mazaheri and M. Totonchi,
A heterozygous missense variant in DLX3 leads to uterine leiomyomas and pregnancy losses in a consanguineous Iranian family,
Gene (2023),   [abstract]
DOI: https://doi.org/10.1016/j.gene.2023.147292

   29. M. Rastegari, N. Salehi and F. Zare-Mirakabad,
Biomarker prediction in autism spectrum disorder using a network-based approach,
BMC Medical Genomics (2023),   [abstract]
DOI: https://doi.org/10.1186/s12920-023-01439-5

   30. M. Maghsoudi, R. Aghdam and C. Eslahchi,
Removing the association of random gene sets and survival time in cancers with positive random bias using fixed-point gene set,
Scientific Reports (2023),   [abstract]
DOI: https://doi.org/10.1038/s41598-023-35588-5

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