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Brain-map>Support>Community Tools>NS-Forest>NS-Forest
Data Analysis

NS-Forest

NS-Forest is a software tool which takes cluster results from single cell nuclei RNAseq experiments and generates lists of minimal markers needed to define each cell type cluster. It utilizes random forest of decision trees machine learning approach and is used to determine minimum set of marker genes whose combined expression identified cells of given type with maximum classification accuracy.

Link to the tool

More information

  • RRID:SCR_018348
  • Software Type:data analysis
  • Modality:gene expression, cell type
  • Allen Resource(s) Utilized:Allen Mouse Brain Reference Atlas
  • Author(s):Brian Aevermann, Richard Scheuermann
  • Year Released:2018

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