SCHOOL OF BIOLOGICAL SCIENCES

Papers

All Papers
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111.	T. Baghfalaki and M. Ganjali, A transition model for analyzing multivariate longitudinal data using Gaussian copula approach, Advances in Statistical Analysis https://doi.org/10.1007/s10182-018-00346-w(2019), 1-55 [abstract]

112.	S. A. Malekpour, P. Pakzad, M. H. Foroughmand-Araabi, S. Goliaei, R. Tusserkani, B. Goliaei and M. Sadeghi, Modeling the probability distribution of the bacterial burst size via a game-theoretic approach, Journal of bioinformatics and computational biology 16(2018), https://doi.org/10.1142/S0219720018500129 [abstract]

113.	D. Molina-Garcia, T. Sandev, H. Safdari, G. Pagnini, A. Chechkin and R. Metzler, Crossover from anomalous to normal diffusion: truncated power-law noise correlations and applications to dynamics in lipid bilayers, New Journal of Physics 20(2018), https://doi.org/10.1088/1367-2630/aae4b2 [abstract]

114.	S. Abbasi, S. Gharaghani, A. Benvidi and A. M. Latif, Identifying the novel natural antioxidants by coupling different feature selection methods with nonlinear regressions and gas chromatography-mass spectroscopy, Microchemical Journal 139(2018), 372-379 - https://doi.org/10.1016/j.microc.2018.03.012 [abstract]

115.	H. Pezeshgi Modarres, M. R. Mofrad and A. Sanati-Nezhad, ProtDataTherm: A database for thermostability analysis and engineering of proteins, PlosOne 13(2018), doi: 10.1371/journal.pone.0191222 [abstract]

116.	Y. Asgari, Z. Zabihinpour and A. Masoudi-Nejad, SCAN-Toolbox: Structural COBRA Add-oN (SCAN) for Analysing Large Metabolic Networks, Current Bioinformatics 13(2018), 100-107 - DOI: https://doi.org/10.2174/1574893611666161123123729 [abstract]

117.	F. Salari, F. Zare-Mirakabad, M. Sadeghi and H. Rokni-Zadeh, Assessing the impact of exact reads on reducing the error rate of read mapping, BMC Bioinformatics 19(2018), 406 - https://doi.org/10.1186/s12859-018-2432-7 [abstract]

118.	A. R. Alizad-Rahvar and M. Sadeghi, Ambiguity in logic-based models of gene regulatory networks: An integrative multi-perturbation analysis, PlosOne 13(2018), https://doi.org/10.1371/journal.pone.0206976 [abstract]

119.	J. Shamsara, Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data, Computational Life Sciences https://doi.org/10.1007/s12539-017-0280-1(2018), 1-10 [abstract]

120.	M. Mirzaei, Hydrophobic residues can identify native protein structures, Proteins: Structure, Function and Bioinformatics 86(2018), 467-474 [abstract]

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