{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T13:18:06Z","timestamp":1788268686173,"version":"build-2803163510"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T00:00:00Z","timestamp":1738281600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2047611"],"award-info":[{"award-number":["2047611"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Displaying proportional data across many spatially resolved coordinates is a challenging but important data visualization task, particularly for spatially resolved transcriptomics data. Scatter pie plots are one type of commonly used data visualization for such data but present perceptual challenges that may lead to difficulties in interpretation. Increasing the visual saliency of such data visualizations can help viewers more accurately identify proportional trends and compare proportional differences across spatial locations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We developed scatterbar, an open-source R package that extends ggplot2, to visualize proportional data across many spatially resolved coordinates using scatter stacked bar plots. We apply scatterbar to visualize deconvolved cell-type proportions from a spatial transcriptomics dataset of the adult mouse brain to demonstrate how scatter stacked bar plots can enhance the distinguishability of proportional distributions compared to scatter pie plots.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>scatterbar is available on CRAN https:\/\/cran.r-project.org\/package=scatterbar with additional documentation and tutorials at https:\/\/jef.works\/scatterbar\/.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf047","type":"journal-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T15:22:16Z","timestamp":1738077736000},"source":"Crossref","is-referenced-by-count":2,"title":["scatterbar: an R package for visualizing proportional data across spatially resolved coordinates"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4380-4794","authenticated-orcid":false,"given":"Dee","family":"Velazquez","sequence":"first","affiliation":[{"name":"Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University , Baltimore, MD 21211,","place":["United States"]},{"name":"Department of Biomedical Engineering, Johns Hopkins University , Baltimore, MD 21218,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0212-5451","authenticated-orcid":false,"given":"Jean","family":"Fan","sequence":"additional","affiliation":[{"name":"Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University , Baltimore, MD 21211,","place":["United States"]},{"name":"Department of Biomedical Engineering, Johns Hopkins University , Baltimore, MD 21218,","place":["United 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