| Autor: |
Elisa Benedetti, Maja Pučić-Baković, Toma Keser, Nathalie Gerstner, Mustafa Büyüközkan, Tamara Štambuk, Maurice H. J. Selman, Igor Rudan, Ozren Polašek, Caroline Hayward, Hassen Al-Amin, Karsten Suhre, Gabi Kastenmüller, Gordan Lauc, Jan Krumsiek |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-020-18675-3 |
| Popis: |
Correlation network inference is typically based on the significance of the correlation coefficients, but this procedure is not guaranteed to capture biological mechanisms. Here, the authors develop a cutoff selection algorithm that maximizes the overlap between inferred networks and prior knowledge. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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