Papers
   Journal Papers
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1. 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]   
 
2. M. Habibi and P. Khosravi,
Disruption of the Protein Complexes from Weighted Complex Networks,
computational biology and bioinformatics (2018), DOI: 10.1109/TCBB.2018.2859952  [abstract]   
 
3. M. Mirzaei,
Hydrophobic residues can identify native protein structures,
Proteins: Structure, Function and Bioinformatics 86(2018), 467-474  [abstract]   
 
4. 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]   
 
5. 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]   
 
6. M. Eslami, R. Shirali Hossein Zade, Z. Takalloo, G. Mahdevar, A. Emamjomeh, R. H.Sajedi and J. Zahiri,
afpCOOL: A tool for antifreeze protein prediction,
Heliyon 4(2018), https://doi.org/10.1016/j.heliyon.2018.e00705  [abstract]   
 
7. T. Bahrami, S. Zarvandi, R. De Mot, H. Gross, M. Changi-Ashtiani, T. Shahani and H. Rokni-Zadeh,
Draft Genome Sequence of Pseudomonas gingeri Strain LMG 5327, the Causative Agent of Ginger Blotch in Agaricus bisporus,
Genome announcements 6(2018), 196-218  [abstract]   
 
8. A. Mani-Varnosfaderani, M. Sadat Neiband and A. Benvidi,
Identification of molecular features necessary for selective inhibition of B cell lymphoma proteins using machine learning techniques,
Molecular diversity (2018), 1-19  [abstract]   
 
9. E. Mirzaei Mehrabad, R. Hassan Zadeh and C. Eslahchi,
PMLPR: A novel method for predicting subcellular localization based on recommender systems,
Scientific Reports 1(2018), 8  [abstract]   
 
10. M. Habibi and P. Khosravi,
Disruption of the Protein Complexes from Weighted Complex Networks,
computational biology and bioinformatics DOI: 10.1109/TCBB.2018.2859952(2018), 1  [abstract]   
 

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