C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites
Authors: Ding, Y., Tiwari, P., Zou, Q., Guo, F. and Pandey, H.M.
Journal: IEEE Transactions on Fuzzy Systems
Volume: 30
Issue: 11
Pages: 4754-4765
eISSN: 1941-0034
ISSN: 1063-6706
DOI: 10.1109/TFUZZ.2022.3159103
Abstract:DNA methylation is an epigenetic marker that plays an important role in the biological processes of regulating gene expression, maintaining chromatin structure, imprinting genes, inactivating X chromosomes, and developing embryos. The traditional detection method is time-consuming. Currently, researchers have used effective computational methods to improve the efficiency of methylation detection. This study proposes a fuzzy model with correntropy induced loss (C-loss) function to identify DNA N4-methylcytosine (4 mC) sites. To improve the robustness and performance of the model, we use kernel method and the C-loss function to build a higher order fuzzy inference systems. To test performance, our model is implemented on six 4 mC and eight University of California Irvine (UCI) datasets. The experimental results show that our model achieves better prediction performance.
https://eprints.bournemouth.ac.uk/36992/
Source: Scopus
