Comparison of Four Ab Initio MicroRNA Prediction Tools. - Muserref Duygu Saçar; Jens Allmer (BIOINFORMATICS, 2013)

Can MiRBase Provide Positive Data for Machine Learning for the Detection of MiRNA Hairpins? - Muserref Duygu Saçar; Hamid Hamzeiy; Jens Allmer (J. Integr. Bioinform., 2013)

Computational Prediction of MicroRNAs from Toxoplasma gondii Potentially Regulating the Hosts' Gene Expression. - Müserref Duygu Saçar; Caner Bagci; Jens Allmer (Genom. Proteom. Bioinform., 2014)

Feature Selection Has a Large Impact on One-Class Classification Accuracy for MicroRNAs in Plants. - Malik Yousef; Muserref Duygu Saçar; Waleed Khalifa; Jens Allmer (Adv. Bioinformatics, 2016)

A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes. - Muserref Duygu Saçar Demirci; Mustafa Toprak; Jens Allmer (J. Integr. Bioinform., 2016)

Improving the Quality of Positive Datasets for the Establishment of Machine Learning Models for pre-microRNA Detection. - Muserref Duygu Saçar Demirci; Jens Allmer (J. Integr. Bioinform., 2017)

Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection. - Yilmaz Mehmet Demirci; Muserref Duygu Saçar Demirci (J. Integr. Bioinform., 2021)

NeRNA: A negative data generation framework for machine learning applications of noncoding RNAs. - Mehmet Emin Orhan; Yilmaz Mehmet Demirci; Muserref Duygu Saçar Demirci (Comput. Biol. Medicine, 2023)