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SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data
BACKGROUND: Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large f...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6798423/ https://ncbi.nlm.nih.gov/pubmed/31623550 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3067-z |
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