Papers
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81. M. Ghamghami, N. Ghahreman, P. Irannejad and H. Pezeshk,
A parametric empirical Bayes (PEB) approach for estimating maize progress percentage at field scale,
Agricultural and Forest Meteorology 281(2020), https://doi.org/10.1016/j.agrformet.2019.107829  [abstract]   
DOI: https://doi.org/10.1016/j.agrformet.2019.107829
 
82. H. Poormohammadi and M. Sardari Zarchi,
Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets,
Plos One 15(2020), https://doi.org/10.1371/journal.pone.0227842  [abstract]   
DOI: https://doi.org/10.1371/journal.pone.0227842
 
83. A. Emdadi and Ch. Eslahchi,
DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization,
Frontiers in Genetics 11(2020), 75  [abstract]   
DOI: https://doi.org/10.3389/fgene.2020.00075
 
84. F. Ahmadi Moughari and Ch. Eslahchi,
ADRML: anticancer drug response prediction using manifold learning,
Scientific Reports 10(2020), 1-18  [abstract]   
DOI: https://doi.org/10.1038/s41598-020-71257-7
 
85. S. A. Malekpour, A. R. Alizad-Rahvar and M. Sadeghi,
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks,
BMC Bioinformatics 21(2020), 1-21  [abstract]   
DOI: https://doi.org/10.1186/s12859-020-03651-x
 
86.
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks,
BMC Bioinformatics 21(2020), 1-21  [abstract]   
DOI: https://doi.org/10.1186/s12859-020-03651-x
 
87. C. Razavi Pashabayg, N. Momenifar, S. A. Malekpour, M. Sadeghi, A. Rahimi Foroushani, H. Rafatpanah, N. Valizadeh, F. Sabet, S. M. Jazayeri, H. Keyvani, S. A. Rezaee and M. Norouzi,
Phylogenetic and phylodynamic study of Human T-cell lymphotropic virus Type 1 (HTLV-1) in Iran,
Infection, Genetics and Evolution  (to appear) [abstract]   
DOI: https://doi.org/10.1016/j.meegid.2020.104426
 
88. N. Khorasani, M. Sadeghi and A. Nowzari-Dalini,
A Computational Model of Stem Cell Molecular Mechanism to Maintain Tissue Homeostasis,
bioRxiv  (to appear) [abstract]   
DOI: https://doi.org/10.1101/2020.03.02.972968
 
89. P. Urban, V. Rezaei Tabar, G. Bokota, M. Denkiewicz, S. Basu and D. PlewczyÅ?ski,
Dendritic Spines Taxonomy: The Functional and Structural Classification â?¢ Time-Dependent Probabilistic Model of Neuronal Activation,
Journal of Computational Biology (2020), https://doi.org/10.1089/cmb.2018.0155  [abstract]   
DOI: https://doi.org/10.1089/cmb.2018.0155
 
90. 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]   
arXive.org link: https://doi.org/10.1089/cmb.2019.0383 [ abs, src, ps, others], cited by
 

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