Cell Group Recognition Method Based on Adaptive Mutation PSO-SVM

The increased volume and complexity of flow cytometry (FCM) data resulting from the increased throughput greatly boosts the demand for reliable statistical methods for the analysis of multidimensional data. The Support Vector Machines (SVM) model can be used for classification recognition. However,...

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Detalles Bibliográficos
Autores principales: Wang, Yue, Meng, Xiaochen, Zhu, Lianqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162506/
https://www.ncbi.nlm.nih.gov/pubmed/30213126
http://dx.doi.org/10.3390/cells7090135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162506/
https://www.ncbi.nlm.nih.gov/pubmed/30213126
http://dx.doi.org/10.3390/cells7090135

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