{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T02:20:37Z","timestamp":1767925237459,"version":"3.49.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2004,10,28]],"date-time":"2004-10-28T00:00:00Z","timestamp":1098921600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0\/"},{"start":{"date-parts":[[2004,10,28]],"date-time":"2004-10-28T00:00:00Z","timestamp":1098921600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                        <jats:title>Background<\/jats:title>\n                        <jats:p>Motivated by a biomedical database set up by our group, we aimed to develop a generic database front-end with embedded knowledge discovery and analysis features. A major focus was the human-oriented representation of the data and the enabling of a closed circle of data query, exploration, visualization and analysis.<\/jats:p>\n                     <\/jats:sec><jats:sec>\n                        <jats:title>Results<\/jats:title>\n                        <jats:p>We introduce a non-task-specific database front-end with a new visualization strategy and built-in analysis features, so called d-matrix. d-matrix is web-based and compatible with a broad range of database management systems. The graphical outcome consists of boxes whose colors show the quality of the underlying information and, as the name suggests, they are arranged in matrices. The granularity of the data display allows consequent drill-down. Furthermore, d-matrix offers context-sensitive categorization, hierarchical sorting and statistical analysis.<\/jats:p>\n                     <\/jats:sec><jats:sec>\n                        <jats:title>Conclusions<\/jats:title>\n                        <jats:p>d-matrix enables data mining, with a high level of interactivity between humans and computer as a primary factor. We believe that the presented strategy can be very effective in general and especially useful for the integration of distinct data types such as phenotypical and molecular data.<\/jats:p>\n                     <\/jats:sec>","DOI":"10.1186\/1471-2105-5-168","type":"journal-article","created":{"date-parts":[[2004,11,6]],"date-time":"2004-11-06T07:24:44Z","timestamp":1099725884000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["d-matrix \u2013 database exploration, visualization and analysis"],"prefix":"10.1186","volume":"5","author":[{"given":"Dominik","family":"Seelow","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raffaello","family":"Galli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siegrun","family":"Mebus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans-Peter","family":"Sperling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans","family":"Lehrach","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silke","family":"Sperling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2004,10,28]]},"reference":[{"issue":"Database issue","key":"284_CR1","doi-asserted-by":"publisher","first-page":"D516","DOI":"10.1093\/nar\/gkh111","volume":"32","author":"D Fredman","year":"2004","unstructured":"Fredman D, Munns G, Rios D, Sjoholm F, Siegfried M, Lenhard B, Lehvaslaiho H, Brookes AJ: HGVbase: a curated resource describing human DNA variation and phenotype relationships.\n                           Nucleic Acids Res 2004, 32(Database issue):D516\u2013519. 10.1093\/nar\/gkh111","journal-title":"Nucleic Acids Res"},{"key":"284_CR2","unstructured":"Genome Web[http:\/\/www.hgmp.mrc.ac.uk\/GenomeWeb\/]"},{"issue":"1","key":"284_CR3","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1038\/sj.tpj.6500153","volume":"3","author":"PM Nadkarni","year":"2003","unstructured":"Nadkarni PM: The challenges of recording phenotype in a generalizable and computable form.\n                           Pharmacogenomics J 2003, 3(1):8\u201310. 10.1038\/sj.tpj.6500153","journal-title":"Pharmacogenomics J"},{"issue":"19","key":"284_CR4","doi-asserted-by":"publisher","first-page":"2467","DOI":"10.1161\/01.CIR.0000066694.21510.E2","volume":"107","author":"B Kaynak","year":"2003","unstructured":"Kaynak B, von Heydebreck A, Mebus S, Seelow D, Hennig S, Vogel J, Sperling HP, Pregla R, Alexi-Meskishvili V, Hetzer R, Lange PE, Vingron M, Lehrach H, Sperling S: Genome-wide array analysis of normal and malformed human hearts.\n                           Circulation 2003, 107(19):2467\u20132474. 10.1161\/01.CIR.0000066694.21510.E2","journal-title":"Circulation"},{"issue":"9189","key":"284_CR5","doi-asserted-by":"publisher","first-page":"1518","DOI":"10.1016\/S0140-6736(99)02186-8","volume":"354","author":"AJ Walker","year":"1999","unstructured":"Walker AJ, Cross SS, Harrison RF: Visualisation of biomedical datasets by use of growing cell structure networks: a novel diagnostic classification technique.\n                           Lancet 1999, 354(9189):1518\u20131521. 10.1016\/S0140-6736(99)02186-8","journal-title":"Lancet"},{"issue":"2","key":"284_CR6","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S0933-3657(00)00104-4","volume":"22","author":"G Falkman","year":"2001","unstructured":"Falkman G: Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration.\n                           Artif Intell Med 2001, 22(2):133\u2013158. 10.1016\/S0933-3657(00)00104-4","journal-title":"Artif Intell Med"},{"issue":"9","key":"284_CR7","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1016\/S0045-6535(03)00500-9","volume":"52","author":"Q Shao","year":"2003","unstructured":"Shao Q, Li Y, Campbell E, De Boer ES, Laginestra E, Statzenko A: Statistical visualization for data exploration: a case study on Sydney Olympic Park.\n                           Chemosphere 2003, 52(9):1601\u20131614. 10.1016\/S0045-6535(03)00500-9","journal-title":"Chemosphere"},{"issue":"12","key":"284_CR8","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/S0167-7799(00)01510-9","volume":"18","author":"DR Gilbert","year":"2000","unstructured":"Gilbert DR, Schroeder M, van Helden J: Interactive visualization and exploration of relationships between biological objects.\n                           Trends Biotechnol 2000, 18(12):487\u2013494. 10.1016\/S0167-7799(00)01510-9","journal-title":"Trends Biotechnol"},{"key":"284_CR9","volume-title":"In: 7th Data Mining Conference-KDD 2001: San Francisco, California","author":"G Grinstein","year":"2001","unstructured":"Grinstein G, Trutschl M, Cvek U: High-Dimensional Visualizations.\n                           In: 7th Data Mining Conference-KDD 2001: San Francisco, California 2001."},{"issue":"9","key":"284_CR10","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1002\/sim.1502","volume":"22","author":"EJ Wegman","year":"2003","unstructured":"Wegman EJ: Visual data mining.\n                           Stat Med 2003, 22(9):1383\u20131397. 10.1002\/sim.1502","journal-title":"Stat Med"},{"issue":"1","key":"284_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1093\/bioinformatics\/18.1.109","volume":"18","author":"U Rost","year":"2002","unstructured":"Rost U, Bornberg-Bauer E: TreeWiz: interactive exploration of huge trees.\n                           Bioinformatics 2002, 18(1):109\u2013114. 10.1093\/bioinformatics\/18.1.109","journal-title":"Bioinformatics"},{"key":"284_CR12","first-page":"40","volume-title":"In: IEEE Computer Graphics and Applications: 1994","author":"D Keim","year":"1994","unstructured":"Keim D, Kriegel HP: VisDB: Database Exploration using Multidimensional Visualization.\n                           In: IEEE Computer Graphics and Applications: 1994 1994, 40\u201349. 10.1109\/38.310723"},{"issue":"25","key":"284_CR13","doi-asserted-by":"publisher","first-page":"14863","DOI":"10.1073\/pnas.95.25.14863","volume":"95","author":"MB Eisen","year":"1998","unstructured":"Eisen MB, Spellman PT, Brown PO, Botstein D: Cluster analysis and display of genome-wide expression patterns.\n                           Proc Natl Acad Sci U S A 1998, 95(25):14863\u201314868. 10.1073\/pnas.95.25.14863","journal-title":"Proc Natl Acad Sci U S A"},{"key":"284_CR14","volume-title":"Intelligent Data Analysis in Medicine","author":"N Lavrac","year":"2000","unstructured":"Lavrac N, Keravnou E, Zupan B: Intelligent Data Analysis in Medicine.\n                           Volume 42. New York: Marcel Dekker; 2000."},{"key":"284_CR15","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1080\/10618600.1996.10474713","volume":"5","author":"R Ihaka","year":"1996","unstructured":"Ihaka R, Gentleman R: Language for Data Analysis and Graphics.\n                           J of Comp and Graphical Stats 1996, 5: 299\u2013314.","journal-title":"J of Comp and Graphical Stats"},{"key":"284_CR16","unstructured":"d-matrix web supplement[http:\/\/www.molgen.mpg.de\/~heart\/index_dmatrix.html]"},{"issue":"1","key":"284_CR17","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/S1386-5056(02)00002-3","volume":"65","author":"M Weiner","year":"2002","unstructured":"Weiner M, Sherr M, Cohen A: Metadata tables to enable dynamic data modeling and web interface design: the SEER example.\n                           Int J Med Inform 2002, 65(1):51\u201358. 10.1016\/S1386-5056(02)00002-3","journal-title":"Int J Med Inform"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-5-168.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/1471-2105-5-168\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-5-168.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T12:20:08Z","timestamp":1728303608000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-5-168"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,10,28]]},"references-count":17,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2004,12]]}},"alternative-id":["284"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-5-168","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,10,28]]},"assertion":[{"value":"23 August 2004","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2004","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2004","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"168"}}