{"id":"https://openalex.org/W2001109996","doi":"https://doi.org/10.1109/ijcnn.2013.6707001","title":"Self-organizing trees for visualizing protein dataset","display_name":"Self-organizing trees for visualizing protein dataset","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2001109996","doi":"https://doi.org/10.1109/ijcnn.2013.6707001","mag":"2001109996"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6707001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6707001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060592446","display_name":"Nhat-Quang Doan","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nhat-Quang Doan","raw_affiliation_strings":["UMR 7030, University of Paris, Villetaneuse","Universit\u00e9 Paris Cit\u00e9, Paris, France"],"affiliations":[{"raw_affiliation_string":"UMR 7030, University of Paris, Villetaneuse","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, Paris, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047336564","display_name":"Hanane Azzag","orcid":"https://orcid.org/0000-0001-6876-0688"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hanane Azzag","raw_affiliation_strings":["UMR 7030, University of Paris, Villetaneuse","Universit\u00e9 Paris Cit\u00e9, Paris, France"],"affiliations":[{"raw_affiliation_string":"UMR 7030, University of Paris, Villetaneuse","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, Paris, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023422312","display_name":"Mustapha Lebbah","orcid":"https://orcid.org/0000-0001-7245-6371"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mustapha Lebbah","raw_affiliation_strings":["UMR 7030, University of Paris, Villetaneuse","Universit\u00e9 Paris Cit\u00e9, Paris, France"],"affiliations":[{"raw_affiliation_string":"UMR 7030, University of Paris, Villetaneuse","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, Paris, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075097983","display_name":"Guillaume Santini","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Santini","raw_affiliation_strings":["UMR 7030, University of Paris, Villetaneuse","Universit\u00e9 Paris Cit\u00e9, Paris, France"],"affiliations":[{"raw_affiliation_string":"UMR 7030, University of Paris, Villetaneuse","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, Paris, France","institution_ids":["https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060592446"],"corresponding_institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"],"apc_list":null,"apc_paid":null,"fwci":0.2924,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60337512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"82","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7498292922973633},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.662300705909729},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.6330983638763428},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6261480450630188},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6023962497711182},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5593292713165283},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.541346549987793},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5354322195053101},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5302070379257202},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5064061880111694},{"id":"https://openalex.org/keywords/hierarchical-clustering-of-networks","display_name":"Hierarchical clustering of networks","score":0.4561131000518799},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36777883768081665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25300663709640503},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.13407528400421143},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.10414323210716248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498292922973633},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.662300705909729},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.6330983638763428},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6261480450630188},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6023962497711182},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5593292713165283},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.541346549987793},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5354322195053101},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5302070379257202},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5064061880111694},{"id":"https://openalex.org/C82261393","wikidata":"https://www.wikidata.org/wiki/Q17038699","display_name":"Hierarchical clustering of networks","level":5,"score":0.4561131000518799},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36777883768081665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25300663709640503},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.13407528400421143},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.10414323210716248},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6707001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6707001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W41663275","https://openalex.org/W98259786","https://openalex.org/W1496188118","https://openalex.org/W1497495950","https://openalex.org/W1516459493","https://openalex.org/W1578099820","https://openalex.org/W1916339519","https://openalex.org/W1971650367","https://openalex.org/W1990842245","https://openalex.org/W2061239067","https://openalex.org/W2062318714","https://openalex.org/W2067380783","https://openalex.org/W2073523759","https://openalex.org/W2085277871","https://openalex.org/W2096252784","https://openalex.org/W2128653811","https://openalex.org/W2132914434","https://openalex.org/W2145358391","https://openalex.org/W4245176872","https://openalex.org/W6629820180","https://openalex.org/W6632844911","https://openalex.org/W6634702315"],"related_works":["https://openalex.org/W4292477917","https://openalex.org/W2379037722","https://openalex.org/W1597862883","https://openalex.org/W2140131129","https://openalex.org/W2034251629","https://openalex.org/W2534504385","https://openalex.org/W2097005420","https://openalex.org/W2488882714","https://openalex.org/W205292606","https://openalex.org/W2060765209"],"abstract_inverted_index":{"Clustering":[0],"and":[1,34,50],"visualizing":[2],"multidimensional":[3],"or":[4],"structured":[5],"data":[6,11,47,61],"are":[7,18],"important":[8],"tasks":[9],"for":[10],"analysis,":[12],"especially":[13],"in":[14,48],"bioinformatics.":[15],"Self-organizing":[16,39],"models":[17],"often":[19],"used":[20],"to":[21,45],"address":[22],"both":[23],"of":[24],"these":[25],"issues.":[26],"In":[27],"this":[28],"paper":[29],"we":[30],"introduce":[31],"a":[32,58],"hierarchical":[33,49],"topological":[35,51],"visualization":[36],"technique":[37],"called":[38],"Trees":[40],"(SoT)":[41],"which":[42],"is":[43,55],"able":[44],"represent":[46],"structure.":[52],"The":[53],"experiment":[54],"conducted":[56],"on":[57],"real-world":[59],"protein":[60],"set.":[62]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
