| Issue Date | Title | Author(s) |
| 1 | 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 |
| 2 | 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 |
| 3 | 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 |
| 4 | 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 |
| 5 | 2017 | Improving the quality of positive datasets for the establishment of machine learning models for pre-microRNA detection | Saçar Demirci, Müşerref Duygu; Allmer, Jens |
| 6 | 2014 | Machine learning methods for microRNA gene prediction | Saçar, Müşerref Duygu; Allmer, Jens |
| 7 | Mar-2017 | MicroRNA categorization using sequence motifs and k-mers | Yousef, Malik; Khalifa, Waleed; Acar, İlhan Erkin ; Allmer, Jens |
| 8 | Dec-2017 | On the performance of pre-microRNA detection algorithms | Saçar Demirci, Müşerref Duygu; Baumbach, Jan; Allmer, Jens |
