Dataset Information

Testing for dependence on tree structures.

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 some given 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 a fixed 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.

SUBMITTER: Behr M

PROVIDER: S-EPMC7211961 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Testing for dependence on tree structures.

Behr Merle M Ansari M Azim MA Munk Axel A Holmes Chris C

Proceedings of the National Academy of Sciences of the United States of America 20200422 18

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 some given 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 t ...[more]

PMID: 32321827

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Dataset Information

Testing for dependence on tree structures.

Publications

Testing for dependence on tree structures.

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