{"ID":2857674,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.09554","arxiv_id":"2510.09554","title":"scellop: A Scalable Redesign of Cell Population Plots for Single-Cell Data","abstract":"Summary: Cell population plots are visualizations showing cell population distributions in biological samples with single-cell data, traditionally shown with stacked bar charts. Here, we address issues with this approach, particularly its limited scalability with increasing number of cell types and samples, and present scellop, a novel interactive cell population viewer combining visual encodings optimized for common user tasks in studying populations of cells across samples or conditions. Availability and Implementation: Scellop is available under the MIT licence at https://github.com/hms-dbmi/scellop, and is available on PyPI (https://pypi.org/project/cellpop/) and NPM (https://www.npmjs.com/package/cellpop). A demo is available at https://scellop.netlify.app/.","short_abstract":"Summary: Cell population plots are visualizations showing cell population distributions in biological samples with single-cell data, traditionally shown with stacked bar charts. Here, we address issues with this approach, particularly its limited scalability with increasing number of cell types and samples, and present...","url_abs":"https://arxiv.org/abs/2510.09554","url_pdf":"https://arxiv.org/pdf/2510.09554v1","authors":"[\"Thomas C. Smits\",\"Nikolay Akhmetov\",\"Tiffany S. Liaw\",\"Mark S. Keller\",\"Eric Mörth\",\"Nils Gehlenborg\"]","published":"2025-10-10T17:06:10Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"q-bio.QM\"]","methods":"[]","project_urls":"[\"https://pypi.org/project/cellpop/\",\"https://www.npmjs.com/package/cellpop\",\"https://scellop.netlify.app/\"]","has_code":false,"code_links":[{"ID":608474,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2857674,"paper_url":"https://arxiv.org/abs/2510.09554","paper_title":"scellop: A Scalable Redesign of Cell Population Plots for Single-Cell Data","repo_url":"https://github.com/hms-dbmi/scellop","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}