“Vahid Rezaei Tabar”
Email:
IPM Positions |
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Resident Researcher, School of Biological Sciences
Non Resident Researcher, School of Biological Sciences (2007 - 2024 ) |
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Related Papers |
1. | F. Eskandari, R. Hosseinpour Samim Mamaghani and . Rezaei Tabar Bayesian Shrinkage Estimators of Quality Parameters in Ultrahigh-Dimensional Generalized Linear Models. Journal of Quality Engineering and Management (2023), [abstract] |
2. | S.S.. Azimi, . 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] |
3. | H. Zareifard, V. Rezaei Tabar and D. Plewczynski A Bayesian Approach for Learning Bayesian Network Structures Journal of Statistical Computation and Simulation (2023), [abstract] |
4. | P. Urban, V. Rezaei Tabar, G. Bokota, M. Denkiewicz, S. Basu and D. PlewczyÅ?ski Dendritic Spines Taxonomy: The Functional and Structural Classification ⢠Time-Dependent Probabilistic Model of Neuronal Activation Journal of Computational Biology (2020), https://doi.org/10.1089/cmb.2018.0155 [abstract] |
5. | P. Urban, V. Rezaei Tabar, M. Denkiewicz, G. Bokota, N. Das, S. Basu and D. Plewczynski The Mixture of Autoregressive Hidden Markov Models of Morphology for Dentritic Spines During Activation Process Journal of Computational Biology (2020), https://doi.org/10.1089/cmb.2019.0383 [abstract] |
6. | P. Urban, V. Rezaeitabar, G. Bokota, . Denkiewicz, . Basu and . Plewczy�?ski Dendritic Spines Taxonomy: the functional and structural classification. Time-dependent probabilistic model of neuronal activation Journal of Computational Biology (2020), [abstract] |
7. | R. Aghdam, V. Rezaei Tabar and H. Pezeshk Some Node Ordering Methods for the K2 Algorithm Computational Intelligence DOI: 10.1111/coin.12182 (2018), 1-17 [abstract] |
8. | V. Rezaei Tabar and H. Pezeshk Generalized Profile Hidden Markov Model (PHMM) based on the Dependency between sequences Progress in Biological Sciences 6 (2016), 117-127 10.22059/PBS.2016.590014 [abstract] |
9. | V. Rezaei Tabar, F. Eskandari and S. Salimi A novel node ordering method using L1-regularized Markov Blanket and modified likelihood reduction factor for the K2 algorithm pattern recognition letter (inProgress) [abstract] |
10. | S. Salimi and V. Rezaei Tabar Learning Bayesian Network Structure using Markov Blanket in K2 Algorithm Statistical ideas 21 (2016), 1-12 [abstract] |
11. | V.Rezaei. , S. Naghizadeh. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi. Comparison of the bidirectional Baum-Welch algorithm and the Baum-Welch algorithm on regular lattice Progress in Biological Sciences 2 (2013), 14-22 [abstract] |
12. | V.Rezaei. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi. Assignment Of Protein Sequences To Protein Family Profiles Using Spatial Statistics. MATCH Communication in Methematical and in Computer Chemistry 69 (2013), 7-24 [abstract] |
13. | V.Rezaei. Rezaie, H. Pezeshk and H.Pérez-Sa'nchez. Generalized Baum-Welch Algorithm Based On The Similarity Between Sequences. Plos One 8 (2013), e80565 [abstract] |
14. | V.Rezaei. , M. Mohamadzadeh. and H.Pezeshk. Comparison Between Spatial Statistics Model And Bidirectional Hidden Markov Model For Assignment Of Protein Sequences Iranian Statistical Conference (2012), 511-517 [abstract] |
15. | S. Naghizadeh. , V. Rezaei. , H.Pezeshk. and D. Matthews. A Modified Hidden Markov Model And Its Application In Protein Secondary Structure Prediction Proteomics Bioinform 5 (2012), [abstract] |
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