Analyzing 'omics data using hierarchical models. Ji, H. & Liu, X. S. Nature Biotechnology, 28(4):337–340, April, 2010.
Analyzing 'omics data using hierarchical models [link]Paper  doi  abstract   bibtex   
Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.
@article{ji_analyzing_2010,
	title = {Analyzing 'omics data using hierarchical models},
	volume = {28},
	copyright = {2010 Nature Publishing Group},
	issn = {1546-1696},
	url = {https://www.nature.com/articles/nbt.1619},
	doi = {10.1038/nbt.1619},
	abstract = {Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.},
	language = {en},
	number = {4},
	urldate = {2019-01-15},
	journal = {Nature Biotechnology},
	author = {Ji, Hongkai and Liu, X. Shirley},
	month = apr,
	year = {2010},
	pages = {337--340}
}
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