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==Summary== | |||
{{Information | |||
|Description='''Table 1.''' Database auto-evaluation by assignment tests of random subsets of fiber and drug samples. Values indicate the probabilities ''P'' of assignment (direct method) and inclusion to either groups (resampling method), as well as their standard deviations among replicate subsets (''n'' = 10). | |||
|Source={{cite journal |title=Broad-scale genetic diversity of ''Cannabis'' for forensic applications |journal=PLOS ONE |author=Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. |volume=12 |issue=1 |pages=e0170522 |year=2017 |doi=10.1371/journal.pone.0170522}} | |||
|Author=Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. | |||
|Date=2017 | |||
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International] | |||
}} | |||
== Licensing == | == Licensing == | ||
{{cc-by-4.0}} | {{cc-by-4.0}} |
Revision as of 00:25, 3 July 2019
Summary
Description |
Table 1. Database auto-evaluation by assignment tests of random subsets of fiber and drug samples. Values indicate the probabilities P of assignment (direct method) and inclusion to either groups (resampling method), as well as their standard deviations among replicate subsets (n = 10). |
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Source |
Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. (2017). "Broad-scale genetic diversity of Cannabis for forensic applications". PLOS ONE 12 (1): e0170522. doi:10.1371/journal.pone.0170522. |
Date |
2017 |
Author |
Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. |
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Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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