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Data-adaptive pipeline for filtering and normalizing metabolomics data
Courtney Schiffman, Lauren Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd Whitehead, Catherine Metayer, Josie Hayes, William M.B. Edmands, Stephen Rappaport, Sandrine Dudoit
doi: https://doi.org/10.1101/387365
Courtney Schiffman
1Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA
Lauren Petrick
2Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
Kelsi Perttula
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
Yukiko Yano
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
Henrik Carlsson
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
Todd Whitehead
4Division of Epidemiology, School of Public Health, University of California, Berkeley, CA 94720 USA
5Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA 94720 USA.
Catherine Metayer
4Division of Epidemiology, School of Public Health, University of California, Berkeley, CA 94720 USA
5Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA 94720 USA.
Josie Hayes
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
William M.B. Edmands
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
Stephen Rappaport
3Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
5Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA 94720 USA.
Sandrine Dudoit
1Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA
6Department of Statistics, University of California, Berkeley, CA, USA
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Posted August 08, 2018.
Data-adaptive pipeline for filtering and normalizing metabolomics data
Courtney Schiffman, Lauren Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd Whitehead, Catherine Metayer, Josie Hayes, William M.B. Edmands, Stephen Rappaport, Sandrine Dudoit
bioRxiv 387365; doi: https://doi.org/10.1101/387365
Data-adaptive pipeline for filtering and normalizing metabolomics data
Courtney Schiffman, Lauren Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd Whitehead, Catherine Metayer, Josie Hayes, William M.B. Edmands, Stephen Rappaport, Sandrine Dudoit
bioRxiv 387365; doi: https://doi.org/10.1101/387365
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