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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Detalles Bibliográficos
Autores principales: Somekh, Judith, Shen-Orr, Shai S, Kohane, Isaac S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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

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