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Journal Articles
- 2023
[j7]Mehmet Emin Orhan
, Yilmaz Mehmet Demirci, Muserref Duygu Saçar Demirci:
NeRNA: A negative data generation framework for machine learning applications of noncoding RNAs. Comput. Biol. Medicine 159: 106861 (2023)- 2021
- [j6]Yilmaz Mehmet Demirci, Muserref Duygu Saçar Demirci:
Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection. J. Integr. Bioinform. 18(1): 45-50 (2021) - 2017
- [j5]Muserref Duygu Saçar Demirci, Jens Allmer:
Improving the Quality of Positive Datasets for the Establishment of Machine Learning Models for pre-microRNA Detection. J. Integr. Bioinform. 14(2) (2017) - 2016
- [j4]Malik Yousef, Muserref Duygu Saçar, Waleed Khalifa, Jens Allmer:
Feature Selection Has a Large Impact on One-Class Classification Accuracy for MicroRNAs in Plants. Adv. Bioinformatics 2016: 5670851:1-5670851:6 (2016) - [j3]Muserref Duygu Saçar Demirci, Mustafa Toprak, Jens Allmer:
A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes. J. Integr. Bioinform. 13(5) (2016) - 2014
- [j2]Müserref Duygu Saçar, Caner Bagci, Jens Allmer:
Computational Prediction of MicroRNAs from Toxoplasma gondii Potentially Regulating the Hosts' Gene Expression. Genom. Proteom. Bioinform. 12(5): 228-238 (2014) - 2013
- [j1]Muserref Duygu Saçar, Hamid Hamzeiy, Jens Allmer:
Can MiRBase Provide Positive Data for Machine Learning for the Detection of MiRNA Hairpins? J. Integr. Bioinform. 10(2) (2013)
Conference and Workshop Papers
- 2013
- [c1]Muserref Duygu Saçar, Jens Allmer:
Comparison of Four Ab Initio MicroRNA Prediction Tools. BIOINFORMATICS 2013: 190-195
Coauthor Index
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