Cell type annotation
AssigneeFluent Biosciences Inc.
InventorsYigal Agam, Corey Hayford
Life of this patent
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Abstract
The invention provides methods for annotating cell types using non-parametric statistical scoring of gene expression levels from RNA sequencing (RNA-seq). Expression levels for cells are measured by RNA-seq and a non-parametric statistic such as a Mann-Whitney U score or Wilcoxon score is generated for the expression levels and correlated to such scores from reference data from known cell types. When test cells in the RNA-seq data have a score that correlate highly with such a score from cells of a known type in the reference, those test cells are annotated as being of the known type from the reference.
Claims19
A method of identifying cell types, the method comprising:
- obtaining gene expression data for a plurality of cells;
- assigning the cells to clusters based on the gene expression data;
- determining non-parametric statistical scores of differential gene expression for each cluster versus other clusters;
- calculating a correlation between the calculated score and annotated clusters in a reference;
- and
- annotating each cluster with a cell type based on correlations to the annotated clusters.
Dependencies are inferred from the claim text.