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Nettleton conducts research on statistical methods for the design and analysis of high-dimensional biological datasets. Example data types include transcriptomic data from microarrays or RNA-sequencing, microbiome data, genomic data for use in genome-wide association studies, and data on complex phenotypes. Since joining Iowa State University in 2000, Nettleton's work has been heavily influenced by numerous collaborations with leading plant and animal scientists who seek to understand the functions of genes in biological systems and to learn how genotype and environment interact to shape important phenotypes.
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Immunity & ageing : I & Ano. 1 (2023): 10-16
AMERICAN STATISTICIANpp.1-27, (2023)
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICSno. 3 (2023): 401-422
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