All Papers
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21. P. Urban, V. Rezaeitabar, G. Bokota, Michal Denkiewicz, Subhadip Basu and Dariusz Plewczy�?ski,
Dendritic Spines Taxonomy: the functional and structural classification. Time-dependent probabilistic model of neuronal activation,
Journal of Computational Biology (2020),   [abstract]   
22. M. Askari, R. Karamzadeh, N. Ansari-Pour, M. H. Karimi-Jafari, N. Almadani, M. A. Sadighi Gilani, H. Gourabi, A. Vosough Taghi Dizaj, A. Mohseni Meybodi, M. Sadeghi, A. Bashamboo, K. McElreavey and M. Totonchi,
Identification of a missense variant in CLDN2 in obstructive azoospermia,
J.human genetics 64(2019), 1023-1032  [abstract]   
23. H. Safdari, M. Sadeghi and A. Kalirad,
Making ATP fast and slow: do yeasts play a mixed strategy to metabolise glucose?,
bioRxiv (2019),  [abstract]   
24. E. Saberi Ansari, Ch. Eslahchi, M. Rahimi, L. Geranpayeh, M. Ebrahimi, R. Aghdam and G. Kerdivel,
Significant Random Signatures Reveals New Biomarker for Breast Cancer,
BMC Medical Genomics 12(2019),  [abstract]   
25. S. M. Razavi, F. Rami, S. H. Razavi and Ch. Eslahchi,
TOPDRIVER: the novel identifier of cancer driver genes in Gastric cancer and Melanoma,
Applied Network Science 4(2019),  [abstract]   
26. N. Rohani and Ch. Eslahchi,
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity,
Scientific Reports 9(2019), 1 - 11 DOI  [abstract]   
27. Ch. Eslahchi, A. M. Ali Maddi, F. Ahmadi Moughari and M. M. Balouchi,
CDAP: An Online Package for Evaluation of Complex Detection Methods,
Scientific Reports 9 DOI, 1-13   [abstract]   
28. S. Mortezazadeh, Y. Jamali, H. Naderi-Manesh and A. P. Lyubartsev,
Implicit solvent systematic coarse-graining of dioleoylphosphatidylethanolamine lipids: From the inverted hexagonal to the bilayer structure,
Plos One 14(2019),  [abstract]   
29. N. Salehi, M. Amininasab, R. Firouzi and M. H. Karimi-Jafari,
Efficient construction of a diverse conformational library for amyloid-β as an intrinsically disordered protein,
Journal of Molecular Graphics and Modelling 88(2019), 183-193 (  [abstract]   
30. M. Shahdoust, H. Mahjub, H. Pezeshk and M. Sadeghi,
A Network-based Comparison between Molecular Apocrine Breast Cancer Tumors and Basal and Luminal Tumors by Joint Graphical Lasso,
computational biology and bioinformatics DOI: 10.1109/TCBB.2019.2911074(2019),   [abstract]   

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