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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537327/ https://www.ncbi.nlm.nih.gov/pubmed/31138121 http://dx.doi.org/10.1186/s12859-019-2855-9 |