Package: DoubletFinder Type: Package Title: DoubletFinder is a suite of tools for identifying doublets in single-cell RNA sequencing data. Version: 2.0.4 Authors@R: person(given = "Chris", family = "McGinnis", role = c("aut", "cre"), email = "cmcginni92@gmail.com") Imports: fields, KernSmooth, ROCR, parallel Description: DoubletFinder identifies doublets by generating artificial doublets from existing scRNA-seq data and defining which real cells preferentially co-localize with artificial doublets in gene expression space. Other DoubletFinder package functions are used for fitting DoubletFinder to different scRNA-seq datasets. For example, ideal DoubletFinder performance in real-world contexts requires (I) Optimal pK selection and (2) Homotypic doublet proportion estimation. pK selection is achieved using pN-pK parameter sweeps and maxima identification in mean-variance-normalized bimodality coefficient distributions. Homotypic doublet proportion estimation is achieved by finding the sum of squared cell annotation frequencies. For more information, see our Cell Sysmtes paper https://www.cell.com/cell-systems/fulltext/S2405-4712(19)30073-0 and our github https://github.com/chris-mcginnis-ucsf/DoubletFinder License: CC-0 Encoding: UTF-8 Repository: https://blaserlab.r-universe.dev Date/Publication: 2024-02-15 23:48:04 UTC RemoteUrl: https://github.com/blaserlab/DoubletFinder RemoteRef: HEAD RemoteSha: cff84e94d50b1acbda5878800e30a20bd236dbd0 NeedsCompilation: no Packaged: 2026-10-10 14:20:16 UTC; root Author: Chris McGinnis [aut, cre] Maintainer: Chris McGinnis