Cargando…

A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network

BACKGROUND: Studies have shown that RNA secondary structure, a planar structure formed by paired bases, plays diverse vital roles in fundamental life activities and complex diseases. RNA secondary structure profile can record whether each base is paired with others. Hence, accurate prediction of sec...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Linyu, Zhong, Xiaodan, Wang, Shuo, Zhang, Hao, Liu, Yuanning
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011163/ https://www.ncbi.nlm.nih.gov/pubmed/33789581 http://dx.doi.org/10.1186/s12859-021-04102-x

Ejemplares similares

ncDLRES: a novel method for non-coding RNAs family prediction based on dynamic LSTM and ResNet
por: Wang, Linyu, et al.
Publicado: (2021)

Correction to: ncDLRES: a novel method for non‑coding RNAs family prediction based on dynamic LSTM and ResNet
por: Wang, Linyu, et al.
Publicado: (2021)

Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network
por: Kantipudi, MVV Prasad, et al.
Publicado: (2021)

LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction
por: Fei, Yinchao, et al.
Publicado: (2022)

An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection
por: Toma, Tabassum Islam, et al.
Publicado: (2023)

DMfold: A Novel Method to Predict RNA Secondary Structure With Pseudoknots Based on Deep Learning and Improved Base Pair Maximization Principle
por: Wang, Linyu, et al.
Publicado: (2019)

End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
por: Olsson, Alexander E., et al.
Publicado: (2021)

Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters
por: Sun, Youzhuang, et al.
Publicado: (2023)

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
por: Zhu, Fei, et al.
Publicado: (2019)

IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes
por: Ye, Jing, et al.
Publicado: (2021)

The use of machine translation algorithm based on residual and LSTM neural network in translation teaching
por: Ren, Beibei
Publicado: (2020)

Human Activity Recognition Based on Residual Network and BiLSTM
por: Li, Yong, et al.
Publicado: (2022)

A construction method of reverberation suppression filter using an end-to-end network
por: Wang, Zhen, et al.
Publicado: (2023)

Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding
por: Shi, Jinming, et al.
Publicado: (2023)

DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection
por: Tutuko, Bambang, et al.
Publicado: (2022)

Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism
por: Zhao, Yifeng, et al.
Publicado: (2021)

An End-to-End Lane Detection Model with Attention and Residual Block
por: Wang, Bo, et al.
Publicado: (2022)

Vehicle Destination Prediction Using Bidirectional LSTM with Attention Mechanism
por: Casabianca, Pietro, et al.
Publicado: (2021)

Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid
por: Iskandaryan, Ditsuhi, et al.
Publicado: (2022)

End-to-End Diverse Metasurface Design and Evaluation Using an Invertible Neural Network
por: Wang, Yunxiang, et al.
Publicado: (2023)

LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites
por: Huang, Guohua, et al.
Publicado: (2021)

E2ENNet: An end-to-end neural network for emotional brain-computer interface
por: Han, Zhichao, et al.
Publicado: (2022)

End-to-end decentralized formation control using a graph neural network-based learning method
por: Jiang, Chao, et al.
Publicado: (2023)

Retracted: IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes
por: Healthcare Engineering, Journal of
Publicado: (2023)

An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction
por: Oh, Changheun, et al.
Publicado: (2022)

Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection
por: Laghari, Asif Ali, et al.
Publicado: (2023)

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism
por: Nawaz, Asif, et al.
Publicado: (2020)

End-to-End Residual Network for Light Field Reconstruction on Raw Images and View Image Stacks
por: Salem, Ahmed, et al.
Publicado: (2022)

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine
por: Rojas-Dueñas, Gabriel, et al.
Publicado: (2021)

Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
por: Farid, Ahmed Bahaa, et al.
Publicado: (2021)

End-to-End Premature Ventricular Contraction Detection Using Deep Neural Networks
por: Kraft, Dimitri, et al.
Publicado: (2023)

Res-Dom: predicting protein domain boundary from sequence using deep residual network and Bi-LSTM
por: Wang, Lei, et al.
Publicado: (2022)

A Convolutional Neural Network Face Recognition Method Based on BiLSTM and Attention Mechanism
por: Qi, Xiaobo, et al.
Publicado: (2023)

End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip
por: Wang, Guanrui, et al.
Publicado: (2021)

Research on RNA secondary structure predicting via bidirectional recurrent neural network
por: Lu, Weizhong, et al.
Publicado: (2021)

End-to-end neural system identification with neural information flow
por: Seeliger, K., et al.
Publicado: (2021)

Urban Flooding Prediction Method Based on the Combination of LSTM Neural Network and Numerical Model
por: Chen, Jian, et al.
Publicado: (2023)

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
por: Quilodrán-Casas, César, et al.
Publicado: (2022)

Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
por: Said, Ahmed Ben, et al.
Publicado: (2021)

Splice-site identification for exon prediction using bidirectional LSTM-RNN approach
por: Singh, Noopur, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_n76b3o268qa5k5107f67vv3v4j