Calculate stemness score with TCGAanalyze_Stemness


If you use this function please also cite:

Malta TM, Sokolov A, Gentles AJ, et al. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell. 2018;173(2):338-354.e15. (doi:10.1016/j.cell.2018.03.034)

Data


The input data are: - a matrix (samples as columns, Gene names as rows) - the signature to calculate the correlation score.

Possible scores are:

  • SC_PCBC_stemSig - Stemness Score
  • DE_PCBC_stemSig - endoderm score
  • EB_PCBC_stemSig - embryoid bodies score
  • ECTO_PCBC_stemSig - ectoderm score
  • MESO_PCBC_stemSig - mesoderm score

Output