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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5414140/ https://ncbi.nlm.nih.gov/pubmed/28464790 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1645-5 |
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