“Papers of School of Biological Sciences”
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Increased robustness of early embryogenesis through collective decision-making by key transcription factors,
BMC Systems Biology DOI:10.1186/s12918-015-0169-8(2015), [abstract]
162. M. Ganjali. , T. Baghfalaki. and D. Berridge. ,
Robust Modeling of Differential Gene Expression Data Using Normal/Independent Distributions: A Baysian Approach,
Plos One 10(2015), e0123791 [abstract]
163. A. Kazemi-Pour. , B. Goliaei. and H. Pezeshk. ,
Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity,
BioMed Research International 2015(2015), 7 [abstract]
164. P. Khosravi. , V. H. Gazestani. , M. Akbarzadeh. , S. Mirkhalaf. , M. Sadeghi. and B. Goliaei. ,
Comparative Analysis of Prostate Cancer Gene Regulatory Networks via Hub Type Variation,
Avicenna J Med Biotech 7(2015), 8-15 [abstract]
165. R. Aghdam. , M. Ganjali. , X. Zhang. and C. Eslahchi. ,
CN: A Consensus Algorithm for Inferring Gene Regulatory Networks Using SORDER Algorithm and Conditional Mutual Information Test,
Molecular BioSystems DOI: 10.1039/C4MB00413B(2015), 942-949 [abstract]
166. M. Ganjali. and T. Baghfalaki. ,
A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using MCEM with Application to AIDS Studies,
Biopharmaceutical Statistics 25(2015), 1077-1099 [abstract]
167. M.. Pourkamali Anarak, M.. Sadeghi and ,
Efficient fast heuristic algorithms for minimum error correction haplotyping from SNP fragments,
International journal of computational biology and drug design 7(2014), 358 - 368 [abstract]
168. H. Poormohammadi, C. Eslahchi and R. Tusserkani,
TripNet: A Method for Constructing Rooted Phylogenetic Networks from Rooted Triplets,
Plos One (2014), http://dx.doi.org/10.1371/journal.pone.0106531 [abstract]
169. S. Montaseri. , F. Zare-Mirakabad. and N. Moghadam-Charkari. ,
RNA-RNA interaction prediction using genetic algorithm,
AMB 9(1)(2014), [abstract]
170. A. Rezvan. , S. A. Marashi. and C. Eslahchi. ,
FCDECOMP: Decomposition of metabolic networks based on flux coupling relations,
Bioinformatics and Computational Biology 12(2014), 21 [abstract]
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