IPM Positions

Long Term Visitor, School of Biological Sciences (2023 - Present )

Related Papers

1.	P. Niloofar, R. Aghdam and C. Eslahchi GAEM: Genetic Algorithm based Expectation-Maximization for inferring Gene Regulatory Networks from incomplete data Computers in Biology and Medicine 183 (2024),   [abstract]

2.	A. Darabi, S. Sobhani, R. Aghdam and C. Eslahchi AFITbin: a metagenomic contig binning method using aggregate l-mer frequency based on initial and terminal nucleotides BMC Bioinformatics (2024),   [abstract]

3.	N. Babaiha, R. Aghdam, S. Ghiam and C. Eslahchi NN-RNALoc: Neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles PLOS ONE (2023),   [abstract]

4.	M. Maghsoudi, R. Aghdam and C. Eslahchi Removing the association of random gene sets and survival time in cancers with positive random bias using fixed-point gene set Scientific Reports (2023),   [abstract]

5.	S.A.. Malekpour, M. Shahdoust, R. Aghdam and M. Sadeghi wpLogicNet: logic gate and structure inference in gene regulatory networks Bioinformatics (2023),   [abstract]

6.	R. Masumshah, R. Aghdam and C. Eslahchi A neural network‑based method for polypharmacy side efects prediction BMC Bioinformatics 22 (2021),   [abstract]

7.	M. Habibi, G. Taheri and R. Aghdam A SARS-CoV-2 (COVID-19) biological network to find targets for drug repurposing Scientific Reports 11 (2021), 1-15  [abstract]

8.	S. H. Mahmoodi, R. Aghdam and C. Eslahchi An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests Scientific Reports 11 (2021), 1-15  [abstract]

9.	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), https://doi.org/10.1186/s12920-019-0609-1  [abstract]

10.	R. Aghdam, V. Rezaei Tabar and H. Pezeshk Some Node Ordering Methods for the K2 Algorithm Computational Intelligence DOI: 10.1111/coin.12182 (2018), 1-17  [abstract]

11.	R. Aghdam, T. Baghfalaki, P. Khosravi and E. Saberi Ansari The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer Genomics, proteomics & bioinformatics 15 (2017), 396-404  [abstract]

12.	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]

13.	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]

14.	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]

15.	M. Habibi. , P. Khoda bakhshi. and R. Aghdam. LRC: A new algorithm for prediction of conformational B-cell epitopes using statistical approach and clustering method Journal of immunological methods doi:10.1016/j.jim.2015.09.006 (2015),   [abstract]

16.	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]

17.	R. Aghdam. , M. Ganjali. and C. Eslahchi. A Hybrid Algorithm for Inferring Gene Regulatory Networks Iranian Statistical Conference( In: ) [abstract]

18.	R. Aghdam. , M. Alijanpour. , M. Azadi. , A. Ebrahimi. and C. Eslahchi. Applying a Hybrid Method based on PC algorithm-based approach and MIT Score to Infer Gene Regulatory Networks Iranian Conference on Bioinformatics (Accepted) [abstract]

19.	R. Aghdam. , M. Ganjali. and C. Eslahchi. IPCA-CMI: An algorithm for Inferring Gene Regulatory Networks Based on a Combination of PCA-CMI and MIT Score Plos One 9 (2014), e92600  [abstract]

20.	R. Aghdam. , H. Pezeshk. and M. Ganjali. A New Method for Estimating parameters of A Profile Hidden Markov models Based on Phylogenetic tree Iranian Statistical Conference (2012),   [abstract]

21.	R. Aghdam. , H. Pezeshk. , S.A. Malekpour. , S. Shemehsavar. , M. Sadeghi. and C. Eslahchi. A Clustering Approach for Estimating Parameters of a Profle Hidden Markov Model International Journal of Data Mining and Bioinformatics 8 (2012), 66-82  [abstract]

22.	A. Ebrahimi. , R. Aghdam. , N. Parisa. , M. ganjali. and C. Eslahchi. An Algorithm for Inference of Gene Networks UsingBayesian Network Emerging Trends in Computing and information Science 5 (2012), 774-782  [abstract]

23.	R. Aghdam. , H. Pezeshk. , S.A. Malekpour. , S. Shemehsavar. , M. Sadeghi. and C. Eslahchi. A Bidirectional Bayesian Monte Carlo Approach For Estimating Parameters Of A Profile Hidden Markov Model Applied Science Segment 1 (2010),   [abstract]