Prior knowledge transfer across transcriptional data sets and technologies using compositional statistics yields new mislabelled ovarian cell line

Here, we describe gene expression compositional assignment (GECA), a powerful, yet simple method based on compositional statistics that can validate the transfer of prior knowledge, such as gene lists, into independent data sets, platforms and technologies. Transcriptional profiling has been used to...

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Detalles Bibliográficos
Autores principales: Blayney, Jaine K., Davison, Timothy, McCabe, Nuala, Walker, Steven, Keating, Karen, Delaney, Thomas, Greenan, Caroline, Williams, Alistair R., McCluggage, W. Glenn, Capes-Davis, Amanda, Harkin, D. Paul, Gourley, Charlie, Kennedy, Richard D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041471/
https://www.ncbi.nlm.nih.gov/pubmed/27353327
http://dx.doi.org/10.1093/nar/gkw578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041471/
https://www.ncbi.nlm.nih.gov/pubmed/27353327
http://dx.doi.org/10.1093/nar/gkw578

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