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aPCoA: covariate adjusted principal coordinates analysis
SUMMARY: In fields, such as ecology, microbiology and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity between samples. Given these pairwise distances, principal coordinates analysis is commonly used to construct a visualization of the data. However, confoundin...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7332564/ https://ncbi.nlm.nih.gov/pubmed/32339223 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa276 |
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