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Developing an Embedding, Koopman and Autoencoder Technologies-Based Multi-Omics Time Series Predictive Model (EKATP) for Systems Biology research

It is very important for systems biologists to predict the state of the multi-omics time series for disease occurrence and health detection. However, it is difficult to make the prediction due to the high-dimensional, nonlinear and noisy characteristics of the multi-omics time series data. For this...

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Detalles Bibliográficos
Autores principales: Liu, Suran, You, Yujie, Tong, Zhaoqi, Zhang, Le
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576451/
https://www.ncbi.nlm.nih.gov/pubmed/34764986
http://dx.doi.org/10.3389/fgene.2021.761629