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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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| 出版年: | BioData Min |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4559362/ https://ncbi.nlm.nih.gov/pubmed/26339293 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-015-0060-6 |
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