Papers
   Journal Papers
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11. 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]   
 
12. 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]   
 
13. 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]   
 
14. 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]   
 
15. 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]   
 
16. 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]   
 
17. 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]   
 
18. M. Mirzaei,
Hydrophobic residues can identify native protein structures,
Proteins: Structure, Function and Bioinformatics 86(2018), 467-474  [abstract]   
 
19. T. Baghfalaki, M. Ganjali and D. M. Berridge,
Generalized estimating equations by considering additive terms for analyzing time-course gene sets data,
Journal of the Korean Statistical Society (2018),   [abstract]   
 
20. M. Ganjali and T. Baghfalaki,
Application of Penalized Mixed Model in Identification of Genes in Yeast Cell-Cycle Gene Expression Data,
Biostatistics and Biometrics 6(2018),   [abstract]   
 

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