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A Bayesian Null Interval Hypothesis Test Controls False-Discovery Rates and Improves Sensitivity in Label-Free Quantitative Proteomics
Statistical significance tests are a common feature in quantitative proteomics workflows. The Student’s t-test is widely used to compute the statistical significance of a protein’s change between two groups of samples. However, the t-test’s null hypothesis asserts that the difference in means betwee...
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| 發表在: | J Proteome Res |
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| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7294927/ https://ncbi.nlm.nih.gov/pubmed/32243168 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jproteome.9b00796 |
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