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Use of a machine learning-based high content analysis approach to identify photoreceptor neurite promoting molecules
PURPOSE: High content analysis (HCA) has become a leading methodology in phenotypic drug discovery efforts. Typical HCA workflows include imaging cells using an automated microscope and analyzing the data using algorithms designed to quantify one or more specific phenotypes of interest. Due to the r...
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| Vydáno v: | Adv Exp Med Biol |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5815518/ https://ncbi.nlm.nih.gov/pubmed/26427464 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-17121-0_79 |
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