Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2016-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms12990 |