{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T12:26:03Z","timestamp":1775478363615,"version":"3.50.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"11","funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1750472"],"award-info":[{"award-number":["CCF-1750472"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1763680"],"award-info":[{"award-number":["CNS-1763680"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>A crucial component of intuitive data visualization is presenting a hierarchical tree structure with interactive functions. For example, single-cell transcriptomics studies may generate gene expression values with developmental trajectories or cell lineage structures. Two common visualization methods, t-Distributed Stochastic Neighbor Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP), require two separate figures to depict the distribution of cell types and gene expression data, with low-dimension projections that may not capture the hierarchical structures among cells.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Here, we present a JavaScript framework and an interactive web app named Collapsible Tree, which presents values jointly with interactive, expandable, and collapsible lineage structures. For example, the Collapsible Tree presents cellular states and gene expression from single-cell transcriptomics within a single hierarchical plot, enabling comparisons of gene expression across lineages and subtle patterns between sub-lineages. Our framework can facilitate the exploration of complicated value patterns that are not evident in UMAP or t-SNE plots.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The Collapsible Tree web interface is available at https:\/\/collapsibletree.data2in.net. The JavaScript library source code is available at https:\/\/github.com\/data2intelligence\/collapsible_tree.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btae645","type":"journal-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T16:45:12Z","timestamp":1729961112000},"source":"Crossref","is-referenced-by-count":2,"title":["Collapsible tree: interactive web app to present collapsible hierarchies"],"prefix":"10.1093","volume":"40","author":[{"given":"Yuan","family":"Gao","sequence":"first","affiliation":[{"name":"Cancer Data Science Lab, Center for Cancer Research, National Cancer Institute, National Institutes of Health , Bethesda, MD 20892,","place":["United States"]},{"name":"Center for Bioinformatics and Computational Biology, University of Maryland , College Park, MD 20742,","place":["United 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