CIBERSORT deconvolution advice

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Dear community,

I was wondering if any of you could give me some advice with the following issues:

  1. All results are different when performing "absolute" deconvolution using legacy CIBERSORT source code R version (no.sumto1 & sig.score), legacy CIBERSORT online tool and the online CIBERSORTx tool (see example copied below). Has there been a change in the code between versions?
  2. I have very large matrices to deconvolute (up to 780MB). Is it possible to split up matrices for deconvolution of samples I want to compare?
  3. How does CIBERSORT accomplish to exclude non-hematopoietic genes during signature matrix genetartion? Is there an internal database of "hematopoietic" and "non-hematopoietic" genes? In this case, I am wondering which gene annotation tool and which snapshot thereof was used to define "non-hematopoietic" genes? The reason why I am asking is, that I am concerned this will affect signature matrix generation depending on which annotation tool and version I use for gene annotation of the reference file due to tool-specific annotation differences in gene names (alterantive gene names, novel transcripts etc...) that don't match the CIBERSORT internal record.
  4. For the imputation of cell fractions, how important is it to match gene annotation of signature and mixture in regard to gene-annotation differences caused by different annotation tools/versions. Do I have to assume that the results are always penalised in case the mixture and signature/reference files were annotated in different labs (with a different annotation tool / version)? How would an annotation difference of more than 15% of genes between signature and mixture affect deconvolution performance?
  5. Error during the imputation of cell fractions using CIBERSORTx: "WARNING: reaching max number of iterations". What is the cause and how can I solve it?

CIBERSORT absolute deconvolution results

Thank you!!


CIBERSORT


CIBERSORTx


deconvolution

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