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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Bibliografiset tiedot
Julkaisussa:BMC Bioinformatics
Päätekijät: Li, Yuntong, Fan, Teresa W.M., Lane, Andrew N., Kang, Woo-Young, Arnold, Susanne M., Stromberg, Arnold J., Wang, Chi, Chen, Li
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2019
Aiheet:
Methodology Article
Linkit: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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