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Information-dense analysis for information-dense understanding

  
@article{TCR10419,
	author = {Nikola A. Ivica and Mandeep Kaur and Guangan Hu and Jianzhu Chen},
	title = {Information-dense analysis for information-dense understanding},
	journal = {Translational Cancer Research},
	volume = {5},
	number = {6},
	year = {2016},
	keywords = {},
	abstract = {Using mass cytometry coupled with cellular barcoding, Wong et al. (1) report a high-dimensional map of human T-cell trafficking receptors and cytokine profiles in several different tissues. Specifically, the authors analyzed T cells from eight human organs, including healthy donors and patients with different underlying conditions, with a range of three to five individual samples per organ. Perhaps unsurprisingly, their findings highlight the dynamic and complex nature of T cells in different organs and stress the importance of looking beyond peripheral blood when analyzing human T cell phenotype and function.},
	issn = {2219-6803},	url = {http://tcr.amegroups.com/article/view/10419}
}