Inferring time derivatives including cell growth rates using Gaussian processes
High-throughput time-series data is increasingly available, yet estimating time-derivatives from such data can remain a challenge. Here, the authors provide a non-parametric method for inferring the first and second time-derivatives from multiple replicates of time-series data and for estimating err...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2016-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms13766 |