| Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection MD Saçar Demirci, A Adan PeerJ 8, e9369, 2020 | 46 | 2020 |
| On the performance of pre-microRNA detection algorithms MD Saçar Demirci, J Baumbach, J Allmer Nature communications 8 (1), 1-9, 2017 | 38 | 2017 |
| Computational prediction of microRNAs from Toxoplasma gondii potentially regulating the hosts’ gene expression MD Saçar, C Bağcı, J Allmer Genomics, proteomics & bioinformatics 12 (5), 228-238, 2014 | 37 | 2014 |
| Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins? MD Saçar, H Hamzeiy, J Allmer Journal of integrative bioinformatics 10 (2), 1-11, 2013 | 35 | 2013 |
| Machine learning methods for microRNA gene prediction MD Saçar, J Allmer miRNomics: MicroRNA Biology and Computational Analysis, 177-187, 2014 | 31 | 2014 |
| Data mining for microrna gene prediction: on the impact of class imbalance and feature number for microrna gene prediction MD Saçar, J Allmer 2013 8th international symposium on health informatics and bioinformatics, 1-6, 2013 | 16 | 2013 |
| Current limitations for computational analysis of miRNAs in cancer MD Saçar, J Allmer Pakistan J Clin Biomed Res 1 (2), 3-5, 2013 | 14 | 2013 |
| Comparison of four ab initio microRNA prediction tools MD Saçar, J Allmer SciTePress, 2013 | 14 | 2013 |
| Delineating the impact of machine learning elements in pre-microRNA detection MD Saçar Demirci, J Allmer PeerJ 5, e3131, 2017 | 13 | 2017 |
| The impact of feature selection on one and two-class classification performance for plant microRNAs W Khalifa, M Yousef, MD Saçar Demirci, J Allmer PeerJ 4, e2135, 2016 | 13 | 2016 |
| Feature selection has a large impact on one-class classification accuracy for MicroRNAs in plants M Yousef, MD Saçar Demirci, W Khalifa, J Allmer Advances in bioinformatics 2016, 2016 | 12 | 2016 |
| Differential expression of toxoplasma gondii microRNAs in murine and human hosts MD Saçar Demirci, C Bağcı, J Allmer Non-coding RNAs and inter-kingdom communication, 143-159, 2016 | 10* | 2016 |
| A machine learning approach for microRNA precursor prediction in retro-transcribing virus genomes MD Saçar Demirci, M Toprak, J Allmer Journal of integrative bioinformatics 13 (5), 3-10, 2016 | 7 | 2016 |
| Computational prediction of functional microRNA–mRNA interactions MD Saçar Demirci, M Yousef, J Allmer Computational Biology of Non-Coding RNA, 175-196, 2019 | 6 | 2019 |
| The Expressed MicroRNA—mRNA Interactions of Toxoplasma gondii İE Acar, MD Saçar Demirci, U Groß, J Allmer Frontiers in microbiology 8, 2630, 2018 | 5 | 2018 |
| izMiR: computational ab initio microRNA detection J Allmer, MD Saçar Demirci | 4 | 2016 |
| Improving the quality of positive datasets for the establishment of machine learning models for pre-microRNA detection MD Saçar Demirci, J Allmer Journal of integrative bioinformatics 14 (2), 2017 | 3 | 2017 |
| Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection YM Demirci, MD Saçar Demirci Journal of Integrative Bioinformatics, 2021 | 1 | 2021 |
| Computational prediction of microRNAs in Histoplasma capsulatum MD Saçar Demirci Microbial Pathogenesis 148, 104433, 2020 | 1 | 2020 |
| MicroRNA prediction based on 3D graphical representation of RNA secondary structures MD Saçar Demirci Turkish Journal of Biology 43 (4), 274-280, 2019 | 1 | 2019 |
