MCA 3.1 – Visualization method for Correlated Subpopulations

MCA 3.1

:: DESCRIPTION

MCA (Multiresolution Correlation Analysis) is a tool for the discovery of subpopulations by displaying the correlation of two genes for all possible subpopulations at once.

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::DEVELOPER

Quantitative Single Cell Dynamics, Institute of Computational Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R
:: DOWNLOAD

 MCA

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2014 Jul 11;15:240. doi: 10.1186/1471-2105-15-240.
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.
Feigelman J, Theis FJ, Marr C