| Issue Date | Title | Author(s) |
| 1 | 2013 | Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins? | Demirci, Müşerref Duygu Saçar; Hamzeiy, Hamid; Allmer, Jens |
| 2 | Dec-2017 | Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers | Yousef, Malik; Nigatu, Dawit; Levy, Dalit; Allmer, Jens ; Henkel, Werner |
| 3 | 2014 | Computational and bioinformatics methods for microRNA gene prediction | Allmer, Jens |
| 4 | 2014 | Computational methods for microRNA target prediction | Hamzeiy, Hamid; Yousef, Malik; Allmer, Jens |
| 5 | 2013 | Data mining for microrna gene prediction: On the impact of class imbalance and feature number for microrna gene prediction | Saçar, Müşerref Duygu; Allmer, Jens |
| 6 | 2018 | Deep sequencing reveals two Jurkat subpopulations with distinct miRNA profiles during camptothecin-induced apoptosis | Erdoğan, İpek ; Coşacak, Mehmet İlyas; Nalbant, Ayten ; Akgül, Bünyamin |
| 7 | 2017 | Delineating the impact of machine learning elements in pre-microRNA detection | Saçar Demirci, Müşerref Duygu; Allmer, Jens |
| 8 | Jan-2018 | The expressed MicroRNA-mRNA interactions of Toxoplasma gondii | Acar, İlhan Erkin ; Saçar Demirci, Müşerref Duygu; Groß, Uwe; Allmer, Jens |
| 9 | 2016 | Feature selection has a large impact on one-class classification accuracy for micrornas in plants | Yousef, Malik; Demirci, Müşerref Duygu Saçar; Khalifa, Waleed; Allmer, Jens |
| 10 | 2014 | Gene reporter assay to validate microRNA targets in drosophila S2 cells | Akgül, Bünyamin ; Göktaş, Çağdaş |
| 11 | 2016 | The impact of feature selection on one and two-class classification performance for plant microRNAs | Khalifa, Waleed; Yousef, Malik; Saçar Demirci, Müşerref Duygu; Allmer, Jens |
| 12 | 2017 | Improving the quality of positive datasets for the establishment of machine learning models for pre-microRNA detection | Saçar Demirci, Müşerref Duygu; Allmer, Jens |
| 13 | Sep-2014 | Intersection of MicroRNA and gene regulatory networks and their implication in cancer | Yousef, Malik; Trinh, Hung V.; Allmer, Jens |
| 14 | 2018 | Intracytoplasmic re-localization of miRISC complexes | Akgül, Bünyamin ; Erdoğan, İpek |
| 15 | 2014 | Machine learning methods for microRNA gene prediction | Saçar, Müşerref Duygu; Allmer, Jens |
| 16 | 2014 | Master regulators of posttranscriptional gene expression are subject to regulation | Hamid, Syed Muhammad; Akgül, Bünyamin |
| 17 | Mar-2017 | MicroRNA categorization using sequence motifs and k-mers | Yousef, Malik; Khalifa, Waleed; Acar, İlhan Erkin ; Allmer, Jens |
| 18 | Apr-2013 | miR-17 in imatinib resistance and response to tyrosine kinase inhibitors in chronic myeloid leukemia cells | Fıratlıgil, Burcu ; Biray Avcı, Çığır; Baran, Yusuf |
| 19 | Dec-2017 | On the performance of pre-microRNA detection algorithms | Saçar Demirci, Müşerref Duygu; Baumbach, Jan; Allmer, Jens |
| 20 | Jan-2016 | One step forward, two steps back; Xeno-MicroRNAs reported in breast milk are artifacts | Bağcı, Caner; Allmer, Jens |
