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Zero-Inflated Beta Regression for Differential Abundance Analysis with Metagenomics Data
Metagenomics data have been growing rapidly due to the advances in NGS technologies. One goal of human microbial studies is to detect abundance differences across clinical conditions. Besides small sample size and high dimension, metagenomics data are usually represented as compositions (proportions...
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| 出版年: | J 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: |
Mary Ann Liebert, Inc.
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6109378/ https://ncbi.nlm.nih.gov/pubmed/26675626 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2015.0157 |
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