{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T05:00:18Z","timestamp":1774674018304,"version":"3.50.1"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T00:00:00Z","timestamp":1595462400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["LM010098"],"award-info":[{"award-number":["LM010098"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["AI116794"],"award-info":[{"award-number":["AI116794"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>treeheatr is an R package for creating interpretable decision tree visualizations with the data represented as a heatmap at the tree\u2019s leaf nodes. The integrated presentation of the tree structure along with an overview of the data efficiently illustrates how the tree nodes split up the feature space and how well the tree model performs. This visualization can also be examined in depth to uncover the correlation structure in the data and importance of each feature in predicting the outcome. Implemented in an easily installed package with a detailed vignette, treeheatr can be a useful teaching tool to enhance students\u2019 understanding of a simple decision tree model before diving into more complex tree-based machine learning methods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The treeheatr package is freely available under the permissive MIT license at https:\/\/trang1618.github.io\/treeheatr and https:\/\/cran.r-project.org\/package=treeheatr. It comes with a detailed vignette that is automatically built with GitHub Actions continuous integration.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa662","type":"journal-article","created":{"date-parts":[[2020,7,18]],"date-time":"2020-07-18T07:10:07Z","timestamp":1595056207000},"page":"282-284","source":"Crossref","is-referenced-by-count":25,"title":["<i>treeheatr<\/i>\n                    : an R package for interpretable decision tree visualizations"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3737-6565","authenticated-orcid":false,"given":"Trang T","family":"Le","sequence":"first","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, Institute for Biomedical Informatics, University of Pennsylvania , Philadelphia, PA 19104, USA"}]},{"given":"Jason H","family":"Moore","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, Institute for Biomedical Informatics, University of Pennsylvania , Philadelphia, PA 19104, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,7,23]]},"reference":[{"key":"2023051510592718400_btaa662-B1","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1093\/bioinformatics\/btx657","article-title":"heatmaply: an R package for creating interactive cluster heatmaps for online publishing","volume":"34","author":"Galili","year":"2018","journal-title":"Bioinformatics"},{"key":"2023051510592718400_btaa662-B2","doi-asserted-by":"crossref","first-page":"857","DOI":"10.2307\/2528823","article-title":"A general coefficient of similarity and some of its properties","volume":"27","author":"Gower","year":"1971","journal-title":"Biometrics"},{"key":"2023051510592718400_btaa662-B3","article-title":"Getting things in order: an introduction to the R package seriation","volume":"25, 1-34","author":"Hahsler","year":"2008","journal-title":"J. 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