Papers
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151. R. Khosrowabadi, M. Sadeghi, F. Bakouie, H. Mahdavi, C. Eslahchi and H. Pouretemad,
Screening of autism based on task-free fMRI using graph theoretical approach,
Psychiatry Research: Neuroimaging 10.1016/j.pscychresns.2017.02.004(2017), 48-56  [abstract]   
 
152. F. Taher Ghahramani and A. Tirandaz,
Perturbative treatment of quantum to classical transition in chiral molecules: dilute phase versus condensed phase,
Journal of Physics B: Atomic, Molecular and Optical Physics 50(2017),   [abstract]   
 
153. H. Ebadi, M. Saeedian, M. Ausloos and Gholam Reza Jafari,
Effect of memory in non-Markovian Boolean networks illustrated with a case study: A cell cycling process,
116(2016), 30004 - https://doi.org/10.1209/0295-5075/116/30004  [abstract]   
 
154. R. Aghdam, P. Khosravi and E. Saberi Ansari,
Comparative Analysis of Gene Regulatory Networks Concepts in Normal and Cancer Groups,
Bioinformatics and Biocomputational Research (2016), 1  [abstract]   
 
155. H. Ebadi, M. Saeedian, M. Ausloos and G.H. Jafari,
Effect of memory in non-Markovian Boolean networks illustrated with a case study: A cell cycling process,
EPL 116(2016), https://doi.org/10.1209/0295-5075/116/30004  [abstract]   
 
156. N. Ansari-Pour, Z. Razaghi Moghadam, F. Barneh and M. Jafari,
Testis-Specific Y-Centric Proteinâ??Protein Interaction Network Provides Clues to the Etiology of Severe Spermatogenic Failure,
Journal of proteome research 15(2016), 1011-1022  [abstract]   
 
157. A. Malekpour, H. Pezeshk and M. Sadeghi,
PSE-HMM: genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities,
BMC Bioinformatics https://doi.org/10.1186/s12859-016-1296-y(2016), 1-30  [abstract]   
 
158. R. Jafari, M. Sadeghi and M. Mirzaie,
Investigating the importance of Delaunay-based definition of atomic interactions in scoring of proteinâ??protein docking results,
J. Mol. Graphics and Modelling 16(2016), 108â??114â??â??  [abstract]   
 
159. S. A. Malekpour, H. Pezeshk and M. Sadeghi,
MGP-HMM: detecting genome-wide CNVs using an HMM for modeling mate pair insertion sizes and read counts,
Mathematical Biosciences (2016), 53-62  [abstract]   
 
160. V. Rezaei Tabar and H. Pezeshk,
Generalized Profile Hidden Markov Model (PHMM) based on the Dependency between sequences,
Progress in Biological Sciences 6(2016), 117-127 10.22059/PBS.2016.590014  [abstract]   
 

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