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A Bayesian method for detecting pairwise associations in compositional data
Compositional data consist of vectors of proportions normalized to a constant sum from a basis of unobserved counts. The sum constraint makes inference on correlations between unconstrained features challenging due to the information loss from normalization. However, such correlations are of long-st...
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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5706738/ https://ncbi.nlm.nih.gov/pubmed/29140991 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005852 |
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