Skip to content

Suitability of 'expected counts' from Smart-seq2 RSEM analysis as input for SCENIC #87

@jjacob12

Description

@jjacob12

Hi Aerts Lab,
I hope to analyse public single cell data from a PDOX medulloblastoma model that was sequenced on Smart-seq2 using pySCENIC. The data the authors deposited in NCBI GEO contains floating point values consistent with processed data rather than integer ‘raw’ counts so, to the best of my knowledge that can't be used as input for the initial step of the SCENIC workflow. When I enquired directly with them they stated they performed RNA-Seq by Expectation Maximization (RSEM) analysis ("expected counts from the RSEM analysis" are available). Could you please advise whether the expected count data can be used as input for the SCENIC pipeline?
Thanks in advance.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions