Cargando…
Protein-Protein Interaction Article Classification Using a Convolutional Recurrent Neural Network with Pre-trained Word Embeddings
Curation of protein interactions from scientific articles is an important task, since interaction networks are essential for the understanding of biological processes associated with disease or pharmacological action for example. However, the increase in the number of publications that potentially c...
Autores principales: | Matos, Sérgio, Antunes, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042813/ https://www.ncbi.nlm.nih.gov/pubmed/29236678 http://dx.doi.org/10.1515/jib-2017-0055 |
Ejemplares similares
-
Word2vec convolutional neural networks for classification of news articles and tweets
por: Jang, Beakcheol, et al.
Publicado: (2019) -
Evaluating the Performance of Pre-Trained Convolutional Neural Network for Audio Classification on Embedded Systems for Anomaly Detection in Smart Cities
por: Lamrini, Mimoun, et al.
Publicado: (2023) -
Silent EEG-Speech Recognition Using Convolutional and Recurrent Neural Network with 85% Accuracy of 9 Words Classification
por: Vorontsova, Darya, et al.
Publicado: (2021) -
IoT-Enabled Classification of Echocardiogram Images for Cardiovascular Disease Risk Prediction with Pre-Trained Recurrent Convolutional Neural Networks
por: Balakrishnan, Chitra, et al.
Publicado: (2023) -
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model
por: Pratyush, Pawel, et al.
Publicado: (2023)