Cargando…
Untangling the effects of cellular composition on coexpression analysis
Coexpression analysis is widely used for inferring regulatory networks, predicting gene function, and interpretation of transcriptome profiling studies, based on methods such as clustering. The majority of such studies use data collected from bulk tissue, where the effects of cellular composition pr...
Autores principales: | Farahbod, Marjan, Pavlidis, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370889/ https://www.ncbi.nlm.nih.gov/pubmed/32580998 http://dx.doi.org/10.1101/gr.256735.119 |
Ejemplares similares
-
Differential coexpression in human tissues and the confounding effect of mean expression levels
por: Farahbod, Marjan, et al.
Publicado: (2019) -
A methodology for the analysis of differential coexpression across the human lifespan
por: Gillis, Jesse, et al.
Publicado: (2009) -
Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls
por: Mistry, Meeta, et al.
Publicado: (2013) -
Meta-coexpression conservation analysis of microarray data: a "subset" approach provides insight into brain-derived neurotrophic factor regulation
por: Aid-Pavlidis, Tamara, et al.
Publicado: (2009) -
Shuffle & untangle: novel untangle methods for solving the tanglegram layout problem
por: Nguyen, Nghia, et al.
Publicado: (2022)