Identifying Cancer-Specific circRNA–RBP Binding Sites Based on Deep Learning
Circular RNAs (circRNAs) are extensively expressed in cells and tissues, and play crucial roles in human diseases and biological processes. Recent studies have reported that circRNAs could function as RNA binding protein (RBP) sponges, meanwhile RBPs can also be involved in back-splicing. The intera...
Main Authors: | Zhengfeng Wang, Xiujuan Lei, Fang-Xiang Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/24/22/4035 |
Similar Items
-
Matrix factorization with neural network for predicting circRNA-RBP interactions
by: Zhengfeng Wang, et al.
Published: (2020-06-01) -
Identifying the sequence specificities of circRNA-binding proteins based on a capsule network architecture
by: Zhengfeng Wang, et al.
Published: (2021-01-01) -
CircSLNN: Identifying RBP-Binding Sites on circRNAs via Sequence Labeling Neural Networks
by: Yuqi Ju, et al.
Published: (2019-11-01) -
Comprehensive Analysis of CircRNA Expression Profiles in Multiple Tissues of Pigs
by: Qingpeng Shen, et al.
Published: (2023-11-01) -
CircSSNN: circRNA-binding site prediction via sequence self-attention neural networks with pre-normalization
by: Chao Cao, et al.
Published: (2023-05-01)