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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Detalles Bibliográficos
Autores principales: Voigt, Andrew P., Eidenschink Brodersen, Lisa, Pardo, Laura, Meshinchi, Soheil, Loken, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5132084/
https://www.ncbi.nlm.nih.gov/pubmed/27416291
http://dx.doi.org/10.1002/cyto.a.22905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5132084/
https://www.ncbi.nlm.nih.gov/pubmed/27416291
http://dx.doi.org/10.1002/cyto.a.22905

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