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I am interested to deconvolute muscle tissues (non-tumor) bulk RNAseq data to muscle fiber subtypes, adipose cell and immune cell proportions and cell type specific expression matrix.
Do you think BayesPrism can be used for this purpose? What reference data should I prepare as input?
Thank you very much,
Wendy
The text was updated successfully, but these errors were encountered:
Hi Wendy,
Yes. BayesPrism works for both tumor and non-tumor datasets. Many of the
benchmarks in our manuscript were done on non-tumor datasets, such PBMC and
brain cells. Simply set key=NULL when constructing the prism object. Please
refer to the vignette for details.
Best,
Tinyi
On Mon, Jan 15, 2024 at 5:31 PM guodudou2 ***@***.***> wrote:
Hello,
I am interested to deconvolute muscle tissues (non-tumor) bulk RNAseq data
to muscle fiber subtypes, adipose cell and immune cell proportions and cell
type specific expression matrix.
Do you think BayesPrism can be used for this purpose? What reference data
should I prepare as input?
Thank you very much,
Wendy
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Hello,
I am interested to deconvolute muscle tissues (non-tumor) bulk RNAseq data to muscle fiber subtypes, adipose cell and immune cell proportions and cell type specific expression matrix.
Do you think BayesPrism can be used for this purpose? What reference data should I prepare as input?
Thank you very much,
Wendy
The text was updated successfully, but these errors were encountered: