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Consistent quantitative gene product expression: #1. Automated identification of regenerating bone marrow cell populations using support vector machines
Identification and quantification of maturing hematopoietic cell populations in flow cytometry data sets is a complex and sometimes irreproducible step in data analysis. Supervised machine learning algorithms present promise to automatically classify cells into populations, reducing subjective bias...
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| Опубликовано в: : | Cytometry A |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
John Wiley and Sons Inc.
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5132084/ https://ncbi.nlm.nih.gov/pubmed/27416291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22905 |
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