All Papers
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(2023),   [abstract]   
2. Y. Panahi, F. Salasar Moghaddam, Kh. Babaei, M. Eftekhar, R. Shervin Badv, M. Eskandari, M. Vafaee-Shahi, H. Pezeshk and M. Pedram,
Sexual Dimorphism in Telomere Length in Childhood Autism,
Autism and Developmental Disorders (2022), 10.1007/s10803-022-05486-2  [abstract]   
DOI: 10.1007/s10803-022-05486-2
3. N. Salehi, M. Karimi-Jafari, M. Totonchi and A. Amiri-Yekta,
Integration and gene co-expression network analysis of scRNA-seq transcriptomes reveal heterogeneity and key functional genes in human spermatogenesis,
Scientific Reports (2021), 19089  [abstract]   
4. A. Ziaeemehr and A. Valizadeh,
Frequency-Resolved Functional Connectivity: Role of Delay and the Strength of Connections,
Frontiers in Neural Circuits (2021),   [abstract]   
DOI: 10.3389/fncir.2021.608655
5. H. Latifi-Navid, Z. S. Soheili, S. Samiei, M. Sadeghi, S. Taghizadeh, E. Ranaei Pirmardan and E. Ahmadieh,
Network analysis and the impact of Aflibercept on specific mediators of angiogenesis in HUVEC cells,
Journal of Cellular and Molecular Medicine (2021),   [abstract]   
6. A. Shahir Sadr, Z. Abdollahpour, A. Aliahmadi, C. Eslahchi, M. Nekouei, L. Kiaei, M. Kiaei and A. Ghassempour,
Detection of structural and conformational changes in ALS-causing mutant profilin-1 with hydrogen/deuterium exchange mass spectrometry and bioinformatics techniques,
Metabolic Brain Disease (2021),   [abstract]   
7. R. Masumshah, R. Aghdam and C. Eslahchi,
A neural networkâ??based method for polypharmacy side efects prediction,
BMC Bioinformatics 22(2021),   [abstract]   
8. A. Shahir Sadr, C. Eslahchi, A. Ghassempour and M. Kiaei,
In silico studies reveal structural deviations of mutant profilin-1 and interaction with riluzole and edaravone in amyotrophic lateral sclerosis,
Scientific Reports 11(2021), 1-14  [abstract]   
9. F. Ahmadi Moughari and C. Eslahchi,
A computational method for drug sensitivity prediction of cancer cell lines based on various molecular information,
Plos One 16(2021),   [abstract]   
10. F. Yassayee and C. Eslahchi,
Predicting Anti-Cancer Drug Response by Finding Optimal Subset of Drugs,
Bioinformatics  (to appear) [abstract]   

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