Alleviating batch effects in cell type deconvolution with SCCAF-D
Sign Up to like & getrecommendations! Published in 2024 at "Nature Communications"
DOI: 10.1038/s41467-024-55213-x
Abstract: Cell type deconvolution methods can impute cell proportions from bulk transcriptomics data, revealing changes in disease progression or organ development. But benchmarking studies often use simulated bulk data from the same source as the reference,… read more here.
Keywords: deconvolution; type deconvolution; batch effects; cell type ... See more keywords
A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac616
Abstract: Computational cell type deconvolution on bulk transcriptomics data can reveal cell type proportion heterogeneity across samples. One critical factor for accurate deconvolution is the reference signature matrix for different cell types. Compared with inferring reference… read more here.
Keywords: signature; cell; type deconvolution; cell type ... See more keywords