NEMix 2.39.1 – Network Inference under Noisy Pathway Activation

NEMix 2.39.1

:: DESCRIPTION

NEMix is a network inference model based on nested effects models (NEMs). It learns networks from single cell observations, accounting for noisy pathway activation in the data.

::DEVELOPER

the Computational Biology Group (CBG)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX
  • R

:: DOWNLOAD

 NEMix

:: MORE INFORMATION

Citation

NEMix: single-cell nested effects models for probabilistic pathway stimulation.
Siebourg-Polster J, Mudrak D, Emmenlauer M, Rämö P, Dehio C, Greber U, Fröhlich H, Beerenwinkel N.
PLoS Comput Biol. 2015 Apr 16;11(4):e1004078. doi: 10.1371/journal.pcbi.1004078.