“Papers of School of Biological Sciences”

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151. 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]

   152. R. Jafari, M. Sadeghi and M. Mirzaie,
Investigating the importance of Delaunay-based definition of atomic interactions in scoring of protein–protein docking results,
J. Mol. Graphics and Modelling 16(2016), 108â??114â??â??  [abstract]

   153. 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]

   154. 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]

   155. V. Rezaei Tabar, F. Eskandari and S. Salimi,
A novel node ordering method using L1-regularized Markov Blanket and modified likelihood reduction factor for the K2 algorithm,
pattern recognition letter  (to appear) [abstract]

   156. M. H. REYHANI and H. Poormohammadi,
RPNCH: A Method for Constructing Rooted Phylogenetic Networks from Rooted Triplets based on Height Function,
Indian Journal of Science and Technology  (to appear) [abstract]

   157. 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]

   158. 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]

   159. 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]

   160. 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]

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