MetaNeighbor specifications

Unique identifier:
Software type:
Restrictions to use:
Output data:
A vector of AUROC scores representing the mean for each gene set tested, a list containing the AUROC score for each dataset and cell type and a matrix containing the means for each cell type across datasets.
Programming languages:
Computer skills:
Meta-analysis via Neighbor voting
Command line interface
Input data:
A gene-by-sample expression matrix, a numerical vector that indicates the source of each sample, a matrix that indicates the cell type of each sample and a Gene sets of interest provided as a list of vectors or A gene-by-sample expression matrix, a sample metadata table, a vector that lists the names of all cell types and a set of high variance genes.
Operating system:
Unix/Linux, Mac OS, Windows
MIT License


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MetaNeighbor distribution


MetaNeighbor support


  • Jesse Gillis <>
  • Sara Ballouz <>
  • Megan Crow <>
  • Anirban Paul <>
  • Josh Huang <>


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Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA; Program in Neuroscience, Stony Brook University, Stony Brook, NY, USA

Funding source(s)

Supported by grants from the NIH (5R01MH094705-04 and R01MH109665-01; 1R01MH113005; and 1F32MH114501), by the CSHL Robertson Neuroscience Fund, and by a NARSAD Post-doctoral Fellowship.

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