• 3
  • 3
  • 82
  • 82
IPM
30
YEARS OLD

“Seyed Amir Malekpour”

Email: 

IPM Positions

Post-Doctoral Research Fellow, School of Biological Sciences
(2010 - 2019 )

Related Papers

1. S. A. Malekpour, P. Pakzad, M. H. Foroughmand-Araabi, S. Goliaei, R. Tusserkani, B. Goliaei and M. Sadeghi
Modeling the probability distribution of the bacterial burst size via a game-theoretic approach
16 (2018), https://doi.org/10.1142/S0219720018500129  [abstract]
   
2. A. Malekpour, H. Pezeshk and M. Sadeghi
MSeq-CNV: accurate detection of Copy Number Variation from Sequencing of Multiple samples
Scientific Reports 8 (2018), doi:10.1038/s41598-018-22323-8  [abstract]
   
3. H. Mozhgani, A. Malekpour, M. Norouzi, F. Ramezani, A. Rezaee, V. Poortahmasebi, M. Sadeghi, M. Alavian, M. Zarei-Ghobadi, A. Ghaziasadi, H. Karimzadeh, R. Malekzadeh, M. Ziaee, F. Abedi, B. Ataei, M. Yaran, B. Sayad, H. Jahantigh, M. Somi, Gh. Sarizadeh, I. Sanei-Moghaddam, F. Mansour-Ghanaei, H. Keyvani, E. Kalantari, Z. Fakhari, B. Geravand and M. Jazayeri
Molecular evolution and phylodynamics of hepatitis B virus infection circulating in Iran
Archive of Virology (2018), 1-10  [abstract]
   
4. M. Sadeghi, H. Pezeshk, R. Tusserkani, A. Sharifi Zarchi, S.A. Malekpour-Nargesi, Mehdi. Foroughmand, S. Goliaei, M. Totonchi and N. Ansari-Pour
The Role and Importance of Genome Sequencing in Prediction of Cancer Risk
Bioengineering and Pharmaceutical Engineering 11 (2017), 455-460  [abstract]
   
5. 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]
   
6. 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]
   
7. 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]
   
8. H. Pezeshk. , S. Naghizadeh. , S. A. Malekpour. , C. Eslahchi. and M. Sadeghi.
A Modified Bidirectional Hidden Markov Model And Its Application In Protein Secondary Structure Prediction
Proceeding of the Second International Conference on Advanced Computer Control 3 (2010), 535-538  [abstract]
   
9. 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]
   
10. S. A. Malekpour. , S. Naghizadeh . , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
Protein secondary structure prediction using three neural networks and a segmental semi Markov model
Mathematical Biosciences 217 (2009), 145-150  [abstract]
   
11. S. A. Malekpour. , S. Naghizadeh. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
A Segmental Semi Markov Model For Protein Secondary Structure Prediction
Mathematical Biosciences 221 (2009), 130-135  [abstract]
   
[Back]   
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
scroll left or right