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Batch correction evaluation framework using a-priori gene-gene associations: applied to the GTEx dataset
BACKGROUND: Correcting a heterogeneous dataset that presents artefacts from several confounders is often an essential bioinformatics task. Attempting to remove these batch effects will result in some biologically meaningful signals being lost. Thus, a central challenge is assessing if the removal of...
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| Publicado no: | BMC Bioinformatics |
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| 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/PMC6537327/ https://ncbi.nlm.nih.gov/pubmed/31138121 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2855-9 |
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