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

Internet

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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