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71.	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

72.	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

73.	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

74.	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

75.	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

76.	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

77.	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

78.	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

79.	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

80.	S. Vafadar, K. Kavousi, H. Safdari, A. Kalirad and M. Sadeghi, From indication to decision: A hierarchical approach to model the chemotactic behavior of Escherichia coli, Theoretical Biology 495(2020), https://doi.org/10.1016/j.jtbi.2020.110253 [abstract] DOI: https://doi.org/10.1016/j.jtbi.2020.110253

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