Detect tissue heterogeneity in gene expression data with BioQC

BACKGROUND: Gene expression data can be compromised by cells originating from other tissues than the target tissue of profiling. Failures in detecting such tissue heterogeneity have profound implications on data interpretation and reproducibility. A computational tool explicitly addressing the issue...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jitao David, Hatje, Klas, Sturm, Gregor, Broger, Clemens, Ebeling, Martin, Burtin, Martine, Terzi, Fabiola, Pomposiello, Silvia Ines, Badi, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379536/
https://www.ncbi.nlm.nih.gov/pubmed/28376718
http://dx.doi.org/10.1186/s12864-017-3661-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379536/
https://www.ncbi.nlm.nih.gov/pubmed/28376718
http://dx.doi.org/10.1186/s12864-017-3661-2

Ejemplares similares