Cargando…

DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification

BACKGROUND: Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders characterized by difficulty communicating with society and others, behavioral difficulties, and a brain that processes information differently than normal. Genetics has a strong impact on ASD associated with earl...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fan, Yongxian, Xiong, Hui, Sun, Guicong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286466/ https://www.ncbi.nlm.nih.gov/pubmed/37349705 http://dx.doi.org/10.1186/s12859-023-05378-x

Ejemplares similares

NLOS Identification in WLANs Using Deep LSTM with CNN Features
por: Nguyen, Viet-Hung, et al.
Publicado: (2018)

A Deep CNN-LSTM Framework for Fast Video Coding
por: Bouaafia, Soulef, et al.
Publicado: (2020)

ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021)

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
por: Benítez-Andrades, José Alberto, et al.
Publicado: (2022)

Identification of autism spectrum disorder using deep learning and the ABIDE dataset
por: Heinsfeld, Anibal Sólon, et al.
Publicado: (2017)

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
por: Sun, Jie, et al.
Publicado: (2019)

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

DeepLBCEPred: A Bi-LSTM and multi-scale CNN-based deep learning method for predicting linear B-cell epitopes
por: Qi, Yue, et al.
Publicado: (2023)

Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder
por: Tang, Michelle, et al.
Publicado: (2020)

Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model
por: Zhang, Junming, et al.
Publicado: (2021)

A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
por: Priyadarshini, Ishaani, et al.
Publicado: (2021)

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Publicado: (2022)

Research on Blended Teaching of Flipped Classroom Based on CNN-SSA-Bi-LSTM Deep Learning Model Computer Media
por: Lu, Feng
Publicado: (2022)

Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021)
por: Shambour, Mohd Khaled
Publicado: (2022)

CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana
por: Muhammad, L. J., et al.
Publicado: (2022)

Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals
por: Masuda, Nagisa, et al.
Publicado: (2023)

An interpretable machine learning framework for diagnosis and prognosis of COVID-19
por: Fan, Yongxian, et al.
Publicado: (2023)

Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM
por: Shahid, Farah, et al.
Publicado: (2020)

An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
por: Kour, Harnain, et al.
Publicado: (2022)

A Deep CNN-LSTM Model for Particulate Matter (PM(2.5)) Forecasting in Smart Cities
por: Huang, Chiou-Jye, et al.
Publicado: (2018)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
por: Alsaade, Fawaz Waselallah, et al.
Publicado: (2022)

IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
por: Fan, Yongxian, et al.
Publicado: (2023)

Deep brain stimulation for autism spectrum disorder
por: Marini, Stefano, et al.
Publicado: (2023)

Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment—Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method
por: Feng, Xiang, et al.
Publicado: (2020)

Neuroimaging-Based Deep Learning in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder
por: Song, Jae-Won, et al.
Publicado: (2020)

Retracted: Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
por: Islam, Md. Zabirul, et al.
Publicado: (2020)

A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction
por: Zhao, Chengying, et al.
Publicado: (2020)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023)

Combined deep CNN–LSTM network-based multitasking learning architecture for noninvasive continuous blood pressure estimation using difference in ECG-PPG features
por: Jeong, Da Un, et al.
Publicado: (2021)

RETRACTED ARTICLE: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability
por: Ketu, Shwet, et al.
Publicado: (2021)

A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform
por: Elbagoury, Bassant M., et al.
Publicado: (2023)

Retraction Note: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability
por: Ketu, Shwet, et al.
Publicado: (2023)

ConF: A Deep Learning Model Based on BiLSTM, CNN, and Cross Multi-Head Attention Mechanism for Noncoding RNA Family Prediction
por: Teragawa, Shoryu, et al.
Publicado: (2023)

Exploring high-order correlations with deep-broad learning for autism spectrum disorder diagnosis
por: Hao, Xiaoke, et al.
Publicado: (2022)

Utilizing CNN-LSTM techniques for the enhancement of medical systems
por: Rayan, Alanazi, et al.
Publicado: (2023)

A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
por: Aung, Nway Nway, et al.
Publicado: (2023)

Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion
por: Lu, Weizhong, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_vo4nne7lpio3qgngdk40tfuft8