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IPM
30
YEARS OLD

“Rosa Aghdam”

Email: 

IPM Positions

Non Resident Researcher, School of Biological Sciences
Research Assistant , School of Biological Sciences
(2008 - Present )

Related Papers

1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. R. Aghdam. , M. Ganjali. and C. Eslahchi.
A Hybrid Algorithm for Inferring Gene Regulatory Networks
Iranian Statistical Conference( In: )
[abstract]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
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