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Determining clinically relevant features in cytometry data using persistent homology
Cytometry experiments yield high-dimensional point cloud data that is difficult to interpret manually. Boolean gating techniques coupled with comparisons of relative abundances of cellular subsets is the current standard for cytometry data analysis. However, this approach is unable to capture more s...
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| Publicado no: | bioRxiv |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cold Spring Harbor Laboratory
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8095200/ https://ncbi.nlm.nih.gov/pubmed/33948593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2021.04.26.441473 |
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