Cargando…
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
Complexity of cell-type composition has created much skepticism surrounding the interpretation of bulk tissue transcriptomic studies. Recent studies have shown that deconvolution algorithms can be applied to computationally estimate cell-type proportions from gene expression data of bulk blood sampl...
Autores principales: | Patrick, Ellis, Taga, Mariko, Ergun, Ayla, Ng, Bernard, Casazza, William, Cimpean, Maria, Yung, Christina, Schneider, Julie A., Bennett, David A., Gaiteri, Chris, De Jager, Philip L., Bradshaw, Elizabeth M., Mostafavi, Sara |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451979/ https://www.ncbi.nlm.nih.gov/pubmed/32804935 http://dx.doi.org/10.1371/journal.pcbi.1008120 |
Ejemplares similares
-
A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies
por: Patrick, Ellis, et al.
Publicado: (2021) -
Digitally deconvolving the tumor microenvironment
por: Aran, Dvir, et al.
Publicado: (2016) -
Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants
por: Ng, Bernard, et al.
Publicado: (2021) -
Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors
por: Hippen, Ariel A., et al.
Publicado: (2023) -
Polygenic analysis of inflammatory disease variants and effects on microglia in the aging brain
por: Felsky, Daniel, et al.
Publicado: (2018)