Cargando…
Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases
In silico quantification of cell proportions from mixed-cell transcriptomics data (deconvolution) requires a reference expression matrix, called basis matrix. We hypothesize that matrices created using only healthy samples from a single microarray platform would introduce biological and technical bi...
Autores principales: | Vallania, Francesco, Tam, Andrew, Lofgren, Shane, Schaffert, Steven, Azad, Tej D., Bongen, Erika, Haynes, Winston, Alsup, Meia, Alonso, Michael, Davis, Mark, Engleman, Edgar, Khatri, Purvesh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226523/ https://www.ncbi.nlm.nih.gov/pubmed/30413720 http://dx.doi.org/10.1038/s41467-018-07242-6 |
Ejemplares similares
-
KLRD1-expressing natural killer cells predict influenza susceptibility
por: Bongen, Erika, et al.
Publicado: (2018) -
Methods to increase reproducibility in differential gene expression via meta-analysis
por: Sweeney, Timothy E., et al.
Publicado: (2017) -
Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
por: Tomczak, Aurelie, et al.
Publicado: (2018) -
Early life immunity in the era of systems biology: understanding development and disease
por: Schaffert, Steven, et al.
Publicado: (2018) -
Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption
por: Barbar, Marc, et al.
Publicado: (2021)