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Supervised learning methods in modeling of CD4+ T cell heterogeneity

BACKGROUND: Modeling of the immune system – a highly non-linear and complex system – requires practical and efficient data analytic approaches. The immune system is composed of heterogeneous cell populations and hundreds of cell types, such as neutrophils, eosinophils, macrophages, dendritic cells,...

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Detalles Bibliográficos
Autores principales:	Lu, Pinyi, Abedi, Vida, Mei, Yongguo, Hontecillas, Raquel, Hoops, Stefan, Carbo, Adria, Bassaganya-Riera, Josep
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559362/ https://www.ncbi.nlm.nih.gov/pubmed/26339293 http://dx.doi.org/10.1186/s13040-015-0060-6

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