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High Throughput Automated Analysis of Big Flow Cytometry Data

The rapid expansion of flow cytometry applications has outpaced the functionality of traditional manual analysis tools used to interpret flow cytometry data. Scientists are faced with the daunting prospect of manually identifying interesting cell populations in 50-dimensional datasets, equalling the...

詳細記述

保存先:
書誌詳細
出版年:Methods
主要な著者: Rahim, Albina, Meskas, Justin, Drissler, Sibyl, Yue, Alice, Lorenc, Anna, Laing, Adam, Saran, Namita, White, Jacqui, Abeler-Dörner, Lucie, Hayday, Adrian, Brinkman, Ryan R.
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5815930/
https://ncbi.nlm.nih.gov/pubmed/29287915
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ymeth.2017.12.015
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