Distribution based nearest neighbor imputation for truncated high dimensional data with applications to pre-clinical and clinical metabolomics studies

BACKGROUND: High throughput metabolomics makes it possible to measure the relative abundances of numerous metabolites in biological samples, which is useful to many areas of biomedical research. However, missing values (MVs) in metabolomics datasets are common and can arise due to both technical and...

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Enregistré dans:
Détails bibliographiques
Publié dans:BMC Bioinformatics
Auteurs principaux: Shah, Jasmit S., Rai, Shesh N., DeFilippis, Andrew P., Hill, Bradford G., Bhatnagar, Aruni, Brock, Guy N.
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2017
Sujets:
Methodology Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5319174/
https://ncbi.nlm.nih.gov/pubmed/28219348
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1547-6
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