Published July 1, 2016 | Version v1
Software Open

CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types

  • 1. Stanford University
  • 2. Hunter College
  • 3. Harvard School of Public Health

Description

Source code for the 'CellMapper' R package.

Cell type-specific gene expression plays a defining role in cellular function and differentiation. There are many situations where identifying which genes are most strongly expressed in one cell type relative to others can provide important biological insights. CellMapper infers which genes are strongly expressed in one cell type relative to others by identifying genes that share an expression profile similar to an established set of cell type-specific markers, referred to here as 'query genes'. CellMapper can incorporate information from heterogeneous samples that contain mixtures of many different cell types, and can provide accurate predictions even when a cell type has not been isolated.

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