Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks

Methods for time series prediction and classification of gene regulatory networks (GRNs) from gene expression data have been treated separately so far. The recent emergence of attention-based recurrent neural network (RNN) models boosted the interpretability of RNN parameters, making them appealing...

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Detalles Bibliográficos
Autores principales: Monti, Michele, Fiorentino, Jonathan, Milanetti, Edoardo, Gosti, Giorgio, Tartaglia, Gian Gaetano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871363/
https://www.ncbi.nlm.nih.gov/pubmed/35205437
http://dx.doi.org/10.3390/e24020141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871363/
https://www.ncbi.nlm.nih.gov/pubmed/35205437
http://dx.doi.org/10.3390/e24020141

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