phipsonlab/cellXY
R package to predict sex of single cells and identify Male/Female doublets using machine learning approaches
This tool helps single-cell researchers accurately determine the sex of individual human or mouse cells from gene expression data. By inputting a cell's gene count matrix, it outputs a predicted sex label (male or female) for each cell. It also identifies if a cell is a male-female doublet, which helps improve the accuracy of single-cell analyses.
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Use this if you are performing single-cell RNA sequencing experiments on human or mouse samples and need to confidently assign sex to individual cells or detect mixed-sex cell doublets.
Not ideal if your research involves organisms other than humans or mice, or if you are not working with single-cell gene count matrices.
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Language
R
License
GPL-3.0
Category
Last pushed
Nov 11, 2024
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