Cargando…
DMfold: A Novel Method to Predict RNA Secondary Structure With Pseudoknots Based on Deep Learning and Improved Base Pair Maximization Principle
While predicting the secondary structure of RNA is vital for researching its function, determining RNA secondary structure is challenging, especially for that with pseudoknots. Typically, several excellent computational methods can be utilized to predict the secondary structure (with or without pseu...
Autores principales: | Wang, Linyu, Liu, Yuanning, Zhong, Xiaodan, Liu, Haiming, Lu, Chao, Li, Cong, Zhang, Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409321/ https://www.ncbi.nlm.nih.gov/pubmed/30886627 http://dx.doi.org/10.3389/fgene.2019.00143 |
Ejemplares similares
-
ATTfold: RNA Secondary Structure Prediction With Pseudoknots Based on Attention Mechanism
por: Wang, Yili, et al.
Publicado: (2020) -
Identification of Potential Prognostic Genes for Neuroblastoma
por: Zhong, Xiaodan, et al.
Publicado: (2018) -
An Adaptive Defect Weighted Sampling Algorithm to Design Pseudoknotted RNA Secondary Structures
por: Zandi, Kasra, et al.
Publicado: (2016) -
A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network
por: Wang, Linyu, et al.
Publicado: (2021) -
Multi-Objective Genetic Algorithm for Pseudoknotted RNA Sequence Design
por: Taneda, Akito
Publicado: (2012)