Thanks for providing this interesting tool. Cool you explain more in-depth how to generate reference profiles? In the vignette you state that it
"... consists of a gene (rows) by cell type (columns) matrix containing transcript-per-million (TPM) gene expression values normalized for total mRNA abundance."
Further down, you write that
"Reference profiles for deconvolution are usually generated by differential expression analysis on bulk RNA-seq generated from isolated cell types or cell-type clusters identified by single cell RNA-seq."
What measure would you want me to use from DE analysis on scRNA-seq clusters as reference? Also, is this DE analysis a comparison between clusters or between conditions? And how would you normalize for total mRNA abundance from scRNA-seq data?
Optimally, some examples for creating reference profiles would make it really easy for people to start using your tool.
Thanks for providing this interesting tool. Cool you explain more in-depth how to generate reference profiles? In the vignette you state that it
"... consists of a gene (rows) by cell type (columns) matrix containing transcript-per-million (TPM) gene expression values normalized for total mRNA abundance."
Further down, you write that
"Reference profiles for deconvolution are usually generated by differential expression analysis on bulk RNA-seq generated from isolated cell types or cell-type clusters identified by single cell RNA-seq."
What measure would you want me to use from DE analysis on scRNA-seq clusters as reference? Also, is this DE analysis a comparison between clusters or between conditions? And how would you normalize for total mRNA abundance from scRNA-seq data?
Optimally, some examples for creating reference profiles would make it really easy for people to start using your tool.
BR
Rasmus