| Autor: |
Mombaerts, Laurent, Aalto, Atte, Markdahl, Johan, Gonçalves, Jorge |
| Zdroj: |
IFAC-PapersOnLine; January 2019, Vol. 52 Issue: 26 p262-268, 7p |
| Abstrakt: |
In the past years, many computational methods have been developed to infer the structure of gene regulatory networks from time series data. However, the applicability and accuracy presumptions of such algorithms remain unclear due to experimental heterogeneity. This paper assesses the performance of recent and successful network inference strategies under a novel, multifactorial evaluation framework in order to highlight pragmatic tradeoffs in experimental design. The effects of data quantity and systems perturbations are addressed, thereby formulating guidelines for efficient resource management. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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