Generating synthetic multidimensional molecular time series data for machine learning: considerations

Generating synthetic multidimensional molecular time series data for machine learning: considerations

The use of synthetic data is recognized as a crucial step in the development of neural network-based Artificial Intelligence (AI) systems. While the methods for generating synthetic data for AI applications in other domains have a role in certain biomedical AI systems, primarily related to image pro...

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Bibliographic Details
Main Authors: Gary An, Chase Cockrell
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Systems Biology
Subjects:
synthetic data
time series data
artificial intelligence
artificial neural network
mechanistic modeling
agent-based model
Online Access:https://www.frontiersin.org/articles/10.3389/fsysb.2023.1188009/full

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https://www.frontiersin.org/articles/10.3389/fsysb.2023.1188009/full

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