Name
Title | ||
|---|---|---|
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites |
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TFUZZ.2022.3159103 | IEEE Transactions on Fuzzy Systems |
Keywords | DocType | Volume |
DNA N4-methylcytosine,fuzzy model,kernel method,N4-methylcytosine (4 mC),sequence classification | Journal | 30 |
Issue | ISSN | Citations |
11 | 1063-6706 | 0 |
PageRank | References | Authors |
0.34 | 30 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yihong ding | 1 | 40 | 10.39 |
| Prayag Tiwari | 2 | 0 | 0.68 |
| quan zou | 3 | 558 | 67.61 |
| Fei Guo | 4 | 42 | 10.37 |
| Hari Mohan Pandey | 5 | 60 | 12.31 |