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A deep learning and novelty detection framework for rapid phenotyping in high-content screening
Supervised machine learning is a powerful and widely used method for analyzing high-content screening data. Despite its accuracy, efficiency, and versatility, supervised machine learning has drawbacks, most notably its dependence on a priori knowledge of expected phenotypes and time-consuming classi...
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| 出版年: | Mol Biol Cell |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The American Society for Cell Biology
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5687041/ https://ncbi.nlm.nih.gov/pubmed/28954863 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1091/mbc.E17-05-0333 |
| タグ: |
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