deconvolution

Last updated on Tue, May 9, 2023
#TREG TREG at Bioconductor
Image credit: bioRxiv
deconvolution DeconvoBuddies TREG bulk scRNAseq
Leonardo Collado-Torres
Leonardo Collado-Torres
Investigator @ LIBD, Assistant Professor, Department of Biostatistics @ JHBSPH

#rstats @Bioconductor/🧠 genomics @LieberInstitute/@lcgunam @jhubiostat @jtleek @andrewejaffe alumni/@LIBDrstats @CDSBMexico co-founder

Publications

lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression
Relative cell type fraction estimates in bulk RNA-sequencing data are important to control for cell composition differences across …
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lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression
Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex
Background Cellular deconvolution of bulk RNA-sequencing (RNA-seq) data using single cell or nuclei RNA-seq (sc/snRNA-seq) reference …
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Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human tissue is important for understanding disease …
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Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue
We define and identify a new class of control genes for next-generation sequencing called total RNA expression genes (TREGs), which …
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Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue