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Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
Many biological pathways were first uncovered by identifying mutants with visible phenotypes and by scoring every sample in a screen via tedious and subjective visual inspection. Now, automated image analysis can effectively score many phenotypes. In practical application, customizing an image-analy...
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| Main Authors: | , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2634799/ https://ncbi.nlm.nih.gov/pubmed/19188593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0808843106 |
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