{"id":18082,"date":"2024-02-26T13:58:58","date_gmt":"2024-02-26T05:58:58","guid":{"rendered":"https:\/\/survey.sinica.edu.tw\/?p=18082"},"modified":"2024-05-21T09:13:21","modified_gmt":"2024-05-21T01:13:21","slug":"%e3%80%90%e5%b0%88%e9%a1%8c%e6%bc%94%e8%ac%9b%e3%80%91exploratory-data-analysis-based-on-matrix-visualization3-13","status":"publish","type":"post","link":"https:\/\/survey.sinica.edu.tw\/?p=18082&lang=zh","title":{"rendered":"\u3010\u5c08\u984c\u6f14\u8b1b\u3011Exploratory Data Analysis Based on Matrix Visualization(3\/13)"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"18082\" class=\"elementor elementor-18082\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3802606 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3802606\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container 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elementor-element-07177ad elementor-widget elementor-widget-image\" data-id=\"07177ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"495\" height=\"700\" src=\"https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-495x700.png\" class=\"attachment-large size-large wp-image-18084\" alt=\"\" srcset=\"https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-495x700.png 495w, https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-283x400.png 283w, https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-212x300.png 212w, https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-768x1086.png 768w, https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-1086x1536.png 1086w, https:\/\/survey.sinica.edu.tw\/wp-content\/uploads\/2024\/02\/poster_20240313_\u5433\u6f22\u9298\u8001\u5e2b\u6f14\u8b1b-\u77e9\u9663\u5e95\u5716-3-1448x2048.png 1448w\" sizes=\"(max-width: 495px) 100vw, 495px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-inner-column elementor-element elementor-element-814f2af\" data-id=\"814f2af\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-62f33e4 elementor-widget elementor-widget-text-editor\" data-id=\"62f33e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>\u8b1b\u984c\uff1aExploratory Data Analysis Based on Matrix Visualization<\/strong><\/p><p><strong>\u8b1b\u8005\uff1a\u5433\u6f22\u9298 \u526f\u6559\u6388 \uff08\u570b\u7acb\u653f\u6cbb\u5927\u5b78\u7d71\u8a08\u5b78\u7cfb\uff09<\/strong><\/p><p><strong>\u6642\u9593\uff1a2024 \/ 3 \/ 13\uff08\u9031\u4e09\uff09\u4e0b\u5348 2:00<\/strong><\/p><p><strong>\u5730\u9ede\uff1a<\/strong>\u4e2d\u7814\u9662\u4eba\u793e\u4e2d\u5fc3\u7b2c\u4e00\u6703\u8b70\u5ba4\u53caWebex\u7dda\u4e0a\u6703\u8b70\u5ba4\uff08hybrid\uff09<\/p><p>\u6703\u8b70\u9023\u7d50\uff1a<a href=\"https:\/\/reurl.cc\/zl6Yre\" target=\"_blank\" rel=\"noopener\">https:\/\/reurl.cc\/zl6Yre<\/a><br \/>\u6703\u8b70\u865f\uff1a2514 326 5569<br \/>\u5bc6\u78bc\uff1a0313<strong><br \/><\/strong><\/p><p><strong>\u6f14\u8b1b\u6458\u8981\uff1a<\/strong><\/p><p>A matrix visualization (MV), also known as a heatmap, is a tool that presents data matrices through colored maps. This visualization technique is particularly useful for investigating the grouping and clustering structure of large-scale, high-dimensional datasets without reducing their dimensions. As an exploratory data analysis (EDA) tool, it has been extensively used in various fields, including bioinformatics, social science, and computer science. In this study, we first review representative works on MV-related techniques and R packages development. Next, we describe the main procedures of MV within the framework of generalized association plots (GAPs), along with some recent advances. Specifically, we introduce and apply raw data from cellular probes. Additionally, we discuss MV generalizations in the context of visual data mining and highlight some innovative approaches for future research. (This study is based on a joint work with Chun-houh Chen from the Institute of Statistical Science at Academia Sinica.)<\/p><p><strong>\u4e3b\u8fa6\u55ae\u4f4d\uff1a<\/strong>\u4e2d\u7814\u9662\u4eba\u793e\u4e2d\u5fc3\u8abf\u67e5\u7814\u7a76\u5c08\u984c\u4e2d\u5fc3<br \/><strong>\u806f\u7d61\u4eba\uff1a<\/strong><span id=\"eeb-762019-906981\"><span id=\"eeb-633220-61285\">csrevent@gate.sinica.edu.tw <\/span><\/span>\u8b1d\u5c0f\u59d0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u8b1b\u984c\uff1aExploratory Data Analysis Based on Matrix Visualizat [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":18084,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[315],"tags":[],"class_list":["post-18082","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-semi2"],"_links":{"self":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/18082","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18082"}],"version-history":[{"count":9,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/18082\/revisions"}],"predecessor-version":[{"id":18538,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/18082\/revisions\/18538"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/media\/18084"}],"wp:attachment":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18082"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18082"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18082"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}