PlantDeepMeth: A Deep Learning Model for Predicting DNA Methylation States in Plants
Cytosine DNA methylation (5mCs) is an important epigenetic modification in genomic research. However, the methylation states of some cytosine sites are not available due to the limitations of different studies, and there are few tools developed to deal with this problem, especially in plants, which...
Saved in:
| Main Authors: | Zhongwei Guo, Wenyuan Fan, Chengcheng Cai, Kang Zhang, Xilin Hou, Ying Li, Feng Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/14/11/1724 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning techniques for speech emotion recognition: A review
by: Silviana Widya Lestari, et al.
Published: (2023-06-01) -
A Brief Perspective on Deep Learning Approaches for 2D Semantic Segmentation
by: Shazia Sulemane, et al.
Published: (2025-07-01) -
Real-Time Fire Risk Classification Using Sensor Data and Digital-Twin-Enabled Deep Learning
by: In-Seop Na, et al.
Published: (2025-01-01) -
Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain
by: Javier Gómez-Gómez, et al.
Published: (2025-01-01) -
Deep Learning for Recognition of Digital Modulations: A Detailed Study
by: MohammadMohsen Jadidi, et al.
Published: (2022-06-01)