Automated multigroup outlier identification in molecular high-throughput data using bagplots and gemplots

BACKGROUND: Analyses of molecular high-throughput data often lack in robustness, i.e. results are very sensitive to the addition or removal of a single observation. Therefore, the identification of extreme observations is an important step of quality control before doing further data analysis. Stand...

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Detalles Bibliográficos
Autores principales: Kruppa, Jochen, Jung, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414140/
https://www.ncbi.nlm.nih.gov/pubmed/28464790
http://dx.doi.org/10.1186/s12859-017-1645-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414140/
https://www.ncbi.nlm.nih.gov/pubmed/28464790
http://dx.doi.org/10.1186/s12859-017-1645-5

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