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]](https://bibbase.org/img/filetypes/link.svg "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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