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CAMML: Cell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling
Creates multi-label cell-types for single-cell RNA-sequencing data based on weighted VAM scoring of cell-type specific gene sets. Schiebout, Frost (2022) <<a href="https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf" target="_top">https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf</a>>.
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CAMML: Cell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling
Creates multi-label cell-types for single-cell RNA-sequencing data based on weighted VAM scoring of cell-type specific gene sets. Schiebout, Frost (2022) <<a href="https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf" target="_top">https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf</a>>.
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CAMML: Cell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling
Creates multi-label cell-types for single-cell RNA-sequencing data based on weighted VAM scoring of cell-type specific gene sets. Schiebout, Frost (2022) <<a href="https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf" target="_top">https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf</a>>.
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10- titleCRAN: Package CAMML
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- citation_titleCell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling [R package CAMML version 1.0.0]
- citation_author1H. Robert Frost
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5- og:titleCAMML: Cell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling
- og:descriptionCreates multi-label cell-types for single-cell RNA-sequencing data based on weighted VAM scoring of cell-type specific gene sets. Schiebout, Frost (2022) <<a href="https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf" target="_top">https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf</a>>.
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10- https://CRAN.R-project.org/package=CAMML
- https://CRAN.R-project.org/src/contrib/Archive/CAMML
- https://doi.org/10.32614/CRAN.package.CAMML
- https://orcid.org/0000-0002-4830-8237
- https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf