Papers
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71. T. Baghfalaki, M. Ganjali and D. Berridge,
Missing Value Imputation for RNA-Sequencing Data Using Statistical Models: A Comparative Study,
J. Appl. Statist.  (to appear) [abstract]   
 
72. s. Noorian, M. Ganjali and E. Bahrami Samani,
A Bayesian test of homogeneity of association parameter using transition modelling of longitudinal mixed responses,
J. Appl. Statist. 43(2016), 1850-1863   [abstract]   
 
73. M. Akbaripour-Elahabad and J. Zahiri,
rpiCOOL: A tool for In Silico RNA protein interaction detection using random forest,
Journal of Theoretical Biology 402(2016), 1-8  [abstract]   
 
74. M. Bideli. , J. Gittins. and H. Pezeshk,
A Mixed Bayesian/Frequentist Approach to Sample Size Determination Problem for Clinical Trials,
Progress in Biological Sciences 6(2016), 1-9  [abstract]   
 
75. R. Aghdam. , M. Alijanpour. , M. Azadi. , A. Ebrahimi. , C. Eslahchi. and A. Rezvan. ,
Inferring Gene Regulatory Networks by PCA-CMI Using Hill Climbing Algorithm Based on MIT Score and SORDER Method,
Int. J. Biomath. DOI: 10.1142/S1793524516500406(2016), 18  [abstract]   
 
76. R. Aghdam, M. Ganjali. , P. Niloofar. and C. Eslahchi. ,
Inferring gene regulatory networks by an order independent algorithm using incomplete data sets,
J. Appl. Statist. DOI:10.1080/02664763.2015.1079307(2016), 1-21  [abstract]   
 
77. P. Nickchi, M. Jafari and S. Kalantari,
PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis,
Database (2015),   [abstract]   
 
78. M. Mirzaie and F. Kheradmand ,
Bioactive lipids in emphysema. Decoding fat to reveal COPD phenotypes,
American journal of respiratory and critical care medicine 191(2015), 241-243  [abstract]   
 
79. J. Montojo. , P. Khosravi. , V. H. Gazestani. and G. D. Bader. ,
SIREN Cytoscape plugin: Interaction Type Discrimination in Gene Regulatory Networks,
arXiv (2015), arXiv preprint arXiv:1512.05067  [abstract]   
 
80. P. Khosravi. and E. Ebrahimie. ,
Does the overall shape of gene networks differ between cancer and normal states? Towards a comprehensive understanding of cancer system biology by meta-analysis of various cancer transcriptomes,
The RECOMB/ISCB conference on Regulatory and System Genomics with DREAM challenge (2015), 101-102  [abstract]   
 

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