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Detecting causality from short time-series data based on prediction of topologically equivalent attractors
BACKGROUND: Detecting causality for short time-series data such as gene regulation data is quite important but it is usually very difficult. This can be used in many fields especially in biological systems. Recently, several powerful methods have been set up to solve this problem. However, it usuall...
Tallennettuna:
| Julkaisussa: | BMC Syst Biol |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5763311/ https://ncbi.nlm.nih.gov/pubmed/29322924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-017-0512-3 |
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