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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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Podrobná bibliografie
Hlavní autoři: Jones, Thouis R., Carpenter, Anne E., Lamprecht, Michael R., Moffat, Jason, Silver, Serena J., Grenier, Jennifer K., Castoreno, Adam B., Eggert, Ulrike S., Root, David E., Golland, Polina, Sabatini, David M.
Médium: Artigo
Jazyk:Inglês
Vydáno: National Academy of Sciences 2009
Témata:
On-line přístup: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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