| Autor: |
Adriana San-Miguel, Peri T. Kurshan, Matthew M. Crane, Yuehui Zhao, Patrick T. McGrath, Kang Shen, Hang Lu |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 7, Iss 1, Pp 1-13 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/ncomms12990 |
| Popis: |
Experimenter scoring of cellular imaging data can be biased. This study describes an automated and unbiased multidimensional phenotyping method that relies on machine learning and complex feature computation of imaging data, and identifies weak alleles affecting synapse morphology in live C. elegans. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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