| Drug-drug interaction predicting by neural network using integrated similarity N Rohani, C Eslahchi Scientific reports 9 (1), 13645, 2019 | 192 | 2019 |
| Vertex‐strength of fuzzy graphs C Eslahchi, BN Onagh International Journal of Mathematics and Mathematical Sciences 2006 (1), 043614, 2006 | 116 | 2006 |
| A neural network-based method for polypharmacy side effects prediction R Masumshah, R Aghdam, C Eslahchi BMC bioinformatics 22 (1), 385, 2021 | 82 | 2021 |
| Screening of autism based on task-free fmri using graph theoretical approach M Sadeghi, R Khosrowabadi, F Bakouie, H Mahdavi, C Eslahchi, ... Psychiatry Research: Neuroimaging 263, 48-56, 2017 | 81 | 2017 |
| ISCMF: Integrated similarity-constrained matrix factorization for drug–drug interaction prediction N Rohani, C Eslahchi, A Katanforoush Network Modeling Analysis in Health Informatics and Bioinformatics 9 (1), 11, 2020 | 63 | 2020 |
| Gender classification based on eye movements: A processing effect during passive face viewing N Sammaknejad, H Pouretemad, C Eslahchi, A Salahirad, A Alinejad Advances in cognitive psychology 13 (3), 232, 2017 | 60 | 2017 |
| Dsplmf: a method for cancer drug sensitivity prediction using a novel regularization approach in logistic matrix factorization A Emdadi, C Eslahchi Frontiers in genetics 11, 75, 2020 | 54 | 2020 |
| CN: a consensus algorithm for inferring gene regulatory networks using the SORDER algorithm and conditional mutual information test R Aghdam, M Ganjali, X Zhang, C Eslahchi Molecular BioSystems 11 (3), 942-949, 2015 | 54 | 2015 |
| DPSP: a multimodal deep learning framework for polypharmacy side effects prediction R Masumshah, C Eslahchi Bioinformatics advances 3 (1), vbad110, 2023 | 47 | 2023 |
| Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model A Emdadi, C Eslahchi BMC bioinformatics 22 (1), 33, 2021 | 46 | 2021 |
| Protein secondary structure prediction using three neural networks and a segmental semi Markov model SA Malekpour, S Naghizadeh, H Pezeshk, M Sadeghi, C Eslahchi Mathematical Biosciences 217 (2), 145-150, 2009 | 42 | 2009 |
| Protein complex prediction based on k-connected subgraphs in protein interaction network M Habibi, C Eslahchi, L Wong BMC systems biology 4 (1), 129, 2010 | 41 | 2010 |
| Adrml: anticancer drug response prediction using manifold learning F Ahmadi Moughari, C Eslahchi Scientific reports 10 (1), 14245, 2020 | 36 | 2020 |
| PROSIGN: A method for protein secondary structure assignment based on three-dimensional coordinates of consecutive Cα atoms SR Hosseini, M Sadeghi, H Pezeshk, C Eslahchi, M Habibi Computational biology and chemistry 32 (6), 406-411, 2008 | 33 | 2008 |
| A tale of two symmetrical tails: Structural and functional characteristics of palindromes in proteins A Sheari, M Kargar, A Katanforoush, S Arab, M Sadeghi, H Pezeshk, ... BMC bioinformatics 9 (1), 274, 2008 | 32 | 2008 |
| Impact of RNA structure on the prediction of donor and acceptor splice sites SA Marashi, C Eslahchi, H Pezeshk, M Sadeghi BMC bioinformatics 7 (1), 297, 2006 | 32 | 2006 |
| In silico studies reveal structural deviations of mutant profilin-1 and interaction with riluzole and edaravone in amyotrophic lateral sclerosis AS Sadr, C Eslahchi, A Ghassempour, M Kiaei Scientific reports 11 (1), 6849, 2021 | 30 | 2021 |
| The performances of the chi-square test and complexity measures for signal recognition in biological sequences L Pirhaji, M Kargar, A Sheari, H Poormohammadi, M Sadeghi, H Pezeshk, ... Journal of Theoretical Biology 251 (2), 380-387, 2008 | 29 | 2008 |
| Exploring the role of non-coding RNAs as potential candidate biomarkers in the cross-talk between diabetes mellitus and Alzheimer’s disease S Ghiam, C Eslahchi, K Shahpasand, M Habibi-Rezaei, S Gharaghani Frontiers in aging neuroscience 14, 955461, 2022 | 28 | 2022 |
| The k‐Zero‐Divisor Hypergraph of a Commutative Ring C Eslahchi, AM Rahimi International journal of mathematics and mathematical sciences 2007 (1), 050875, 2007 | 28 | 2007 |
