Data augmentation based on the WGAN-GP with data block to enhance the prediction of genes associated with RNA methylation pathways
Abstract RNA methylation modification influences various processes in the human body and has gained increasing attention from scholars. Predicting genes associated with RNA methylation pathways can significantly aid biologists in studying RNA methylation processes. Several prediction methods have be...
Saved in:
| Main Authors: | Tuo Jiang, Cong Shen, Pingjian Ding, Lingyun Luo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-77107-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adversarial denoising of EEG signals: a comparative analysis of standard GAN and WGAN-GP approaches
by: Imad Eddine Tibermacine, et al.
Published: (2025-05-01) -
A WGAN-GP Approach for Data Imputation in Photovoltaic Power Prediction
by: Zhu Liu, et al.
Published: (2025-02-01) -
Bank data protection and fraud identification based on improved adaptive federated learning and WGAN
by: Yunjiao Zheng
Published: (2025-07-01) -
WGAN-GP-Based Conditional GAN (cGAN) With Extreme Critic for Precipitation Downscaling in a Key Agricultural Region of the Northeastern U.S.
by: Jangho Lee, et al.
Published: (2025-01-01) -
AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data
by: Qiaosheng Zhang, et al.
Published: (2024-12-01)