{"id":"https://openalex.org/W2018811836","doi":"https://doi.org/10.1142/s0219720009004035","title":"RANK-BASED CLUSTERING ANALYSIS FOR THE TIME-COURSE MICROARRAY DATA","display_name":"RANK-BASED CLUSTERING ANALYSIS FOR THE TIME-COURSE MICROARRAY DATA","publication_year":2009,"publication_date":"2009-02-01","ids":{"openalex":"https://openalex.org/W2018811836","doi":"https://doi.org/10.1142/s0219720009004035","mag":"2018811836","pmid":"https://pubmed.ncbi.nlm.nih.gov/19226661"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720009004035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720009004035","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5058118493","display_name":"Sung-Gon Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"SUNG-GON YI","raw_affiliation_strings":["Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089664721","display_name":"YOON-JEONG JOO","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"YOON-JEONG JOO","raw_affiliation_strings":["Program in Bioinformatics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea"],"affiliations":[{"raw_affiliation_string":"Program in Bioinformatics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643662","display_name":"Taesung Park","orcid":"https://orcid.org/0000-0002-8294-590X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"TAESUNG PARK","raw_affiliation_strings":["Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058118493"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.57276076,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65040497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"07","issue":"01","first_page":"75","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9947999715805054,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9498000144958496,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8018578290939331},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.6875249147415161},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5841256976127625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5690216422080994},{"id":"https://openalex.org/keywords/microarray-databases","display_name":"Microarray databases","score":0.5688429474830627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.568740963935852},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.5522329211235046},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.49495500326156616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25074630975723267},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.20309051871299744},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19251888990402222},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.18514776229858398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17292264103889465},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10997927188873291}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8018578290939331},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.6875249147415161},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5841256976127625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5690216422080994},{"id":"https://openalex.org/C548314002","wikidata":"https://www.wikidata.org/wiki/Q6839218","display_name":"Microarray databases","level":5,"score":0.5688429474830627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568740963935852},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.5522329211235046},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.49495500326156616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25074630975723267},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.20309051871299744},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19251888990402222},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.18514776229858398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17292264103889465},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10997927188873291},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018869","descriptor_name":"Heat-Shock Response","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018869","descriptor_name":"Heat-Shock Response","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018869","descriptor_name":"Heat-Shock Response","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219720009004035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720009004035","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:19226661","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19226661","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of bioinformatics and computational biology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W364101553","https://openalex.org/W1853153349","https://openalex.org/W1970156673","https://openalex.org/W2005912371","https://openalex.org/W2008276243","https://openalex.org/W2096863518","https://openalex.org/W2103453943","https://openalex.org/W2109363337","https://openalex.org/W2126623160","https://openalex.org/W2127544153","https://openalex.org/W2133241531","https://openalex.org/W2135000328","https://openalex.org/W2135187880","https://openalex.org/W2144227498","https://openalex.org/W2147246240","https://openalex.org/W2148560070","https://openalex.org/W2150926065","https://openalex.org/W2155612034","https://openalex.org/W2157795344","https://openalex.org/W2158096909","https://openalex.org/W2164463226","https://openalex.org/W2167194270","https://openalex.org/W4233622718","https://openalex.org/W4294107304","https://openalex.org/W4388386281"],"related_works":["https://openalex.org/W2065186132","https://openalex.org/W2911678823","https://openalex.org/W2489437692","https://openalex.org/W2074092657","https://openalex.org/W1491323697","https://openalex.org/W1583052686","https://openalex.org/W1889322612","https://openalex.org/W2482247160","https://openalex.org/W2409078062","https://openalex.org/W2490137852"],"abstract_inverted_index":{"Microarray":[0],"technology":[1],"allows":[2],"the":[3,62,73,84,88,98,101,105,113,118,125,134,137,146,151],"monitoring":[4],"of":[5,10,81,136],"expression":[6,20,89],"levels":[7],"for":[8,51,61,72,124],"thousands":[9],"genes":[11,30,38,119],"simultaneously.":[12],"In":[13],"time-course":[14,63,74],"microarray":[15,53,64,75],"experiments":[16],"in":[17,28],"which":[18],"gene":[19],"is":[21,130],"monitored":[22],"over":[23],"time,":[24],"we":[25],"are":[26,143],"interested":[27],"clustering":[29,48,70,78,107],"that":[31,39,120],"show":[32,40,121],"similar":[33,122],"temporal":[34,59],"profiles":[35,60],"and":[36,93,150],"identifying":[37],"a":[41,68],"pre-specified":[42],"candidate":[43,126],"profile.":[44],"Unfortunately,":[45],"many":[46],"traditional":[47],"methods":[49],"used":[50],"analyzing":[52],"data":[54,90,149],"do":[55],"not":[56],"effectively":[57],"detect":[58],"data.":[65,76,155],"We":[66],"propose":[67],"rank-based":[69,106,139],"analysis":[71],"Our":[77,109],"method":[79],"consists":[80],"two":[82],"steps:":[83],"first":[85],"step":[86,103],"discretizes":[87],"into":[91,97],"groups":[92],"then":[94],"transform":[95],"them":[96],"rank":[99],"data,":[100],"second":[102],"performs":[104],"analysis.":[108],"testing":[110],"procedure":[111],"uses":[112],"bootstrap":[114],"samples":[115],"to":[116,132],"select":[117],"patterns":[123],"profiles.":[127],"Simulation":[128],"study":[129],"performed":[131],"evaluate":[133],"performance":[135],"proposed":[138],"method.":[140],"The":[141],"results":[142],"illustrated":[144],"with":[145],"breast":[147],"cancer":[148],"Arabidopsis":[152],"cold":[153],"stress":[154]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
