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treeSeg: testing for dependence on tree structures

Merle Behr, View ORCID ProfileM. Azim Ansari, Axel Munk, Chris Holmes
doi: https://doi.org/10.1101/622811
Merle Behr
1Department of Statistics, University of California at Berkeley
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M. Azim Ansari
2Department of Statistics, and Nuffield Department of Medicine, University of Oxford
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  • ORCID record for M. Azim Ansari
Axel Munk
3Institute for Mathematical Stochastics, University of Goettingen
4Max Planck Institute for Biophysical Chemistry, Goettingen
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Chris Holmes
2Department of Statistics, and Nuffield Department of Medicine, University of Oxford
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  • For correspondence: holmes@stats.ox.ac.uk
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Abstract

Tree structures, showing hierarchical relationships and the latent structures between samples, are ubiquitous in genomic and biomedical sciences. A common question in many studies is whether there is an association between a response variable measured on each sample and the latent group structure represented by the tree. Currently this is addressed on an ad hoc basis, usually requiring the user to decide on an appropriate number of clusters to prune out of the tree to be tested against the response variable. Here we present a statistical method with statistical guarantees that tests for association between the response variable and the tree structure across all levels of the tree hierarchy with high power, while accounting for the overall false positive error rate. This enhances the robustness and reproducibility of such findings.

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  • https://github.com/merlebehr/treeSeg

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 30, 2019.
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treeSeg: testing for dependence on tree structures
Merle Behr, M. Azim Ansari, Axel Munk, Chris Holmes
bioRxiv 622811; doi: https://doi.org/10.1101/622811
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treeSeg: testing for dependence on tree structures
Merle Behr, M. Azim Ansari, Axel Munk, Chris Holmes
bioRxiv 622811; doi: https://doi.org/10.1101/622811

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