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Longitudinal differential abundance analysis of microbial marker-gene surveys using smoothing splines

View ORCID ProfileJoseph N. Paulson, Hisham Talukder, View ORCID ProfileHéctor Corrada Bravo
doi: https://doi.org/10.1101/099457
Joseph N. Paulson
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Hisham Talukder
3Applied Mathematics & Statistics, and Scientific Computation graduate program, University of Maryland, College Park, Maryland, USA
4Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
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Héctor Corrada Bravo
3Applied Mathematics & Statistics, and Scientific Computation graduate program, University of Maryland, College Park, Maryland, USA
4Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
5Computer Science Department, University of Maryland, College Park, Maryland, USA
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  • For correspondence: hcorrada@umiacs.umd.edu
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Posted January 10, 2017.
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Longitudinal differential abundance analysis of microbial marker-gene surveys using smoothing splines
Joseph N. Paulson, Hisham Talukder, Héctor Corrada Bravo
bioRxiv 099457; doi: https://doi.org/10.1101/099457
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Longitudinal differential abundance analysis of microbial marker-gene surveys using smoothing splines
Joseph N. Paulson, Hisham Talukder, Héctor Corrada Bravo
bioRxiv 099457; doi: https://doi.org/10.1101/099457

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