Cargando…
LGFC-CNN: Prediction of lncRNA-Protein Interactions by Using Multiple Types of Features through Deep Learning
Long noncoding RNA (lncRNA) plays a crucial role in many critical biological processes and participates in complex human diseases through interaction with proteins. Considering that identifying lncRNA–protein interactions through experimental methods is expensive and time-consuming, we propose a nov...
Autores principales: | Huang, Lan, Jiao, Shaoqing, Yang, Sen, Zhang, Shuangquan, Zhu, Xiaopeng, Guo, Rui, Wang, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621699/ https://www.ncbi.nlm.nih.gov/pubmed/34828296 http://dx.doi.org/10.3390/genes12111689 |
Ejemplares similares
-
LncMirNet: Predicting LncRNA–miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences
por: Yang, Sen, et al.
Publicado: (2020) -
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM
por: Guo, Zhen-Hao, et al.
Publicado: (2022) -
Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features
por: Gudenas, Brian L., et al.
Publicado: (2018) -
CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction
por: Yang, Zihao, et al.
Publicado: (2023) -
LncRNA–protein interaction prediction with reweighted feature selection
por: Lv, Guohao, et al.
Publicado: (2023)