Data-driven causal analysis of observational biological time series
Complex systems are challenging to understand, especially when they defy manipulative experiments for practical or ethical reasons. Several fields have developed parallel approaches to infer causal relations from observational time series. Yet, these methods are easy to misunderstand and often contr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2022-08-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/72518 |