{"id":"https://openalex.org/W2997000181","doi":"https://doi.org/10.1093/bioinformatics/btg364","title":"Identifying periodically expressed transcripts in microarray time series data","display_name":"Identifying periodically expressed transcripts in microarray time series data","publication_year":2003,"publication_date":"2003-12-23","ids":{"openalex":"https://openalex.org/W2997000181","doi":"https://doi.org/10.1093/bioinformatics/btg364","mag":"2997000181"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btg364","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btg364","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/20/1/5/48905249/bioinformatics_20_1_5.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/20/1/5/48905249/bioinformatics_20_1_5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113890680","display_name":"Sofia Wichert","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sofia Wichert","raw_affiliation_strings":["Department of Statistics, University of Munich, Ludwigstrasse 33, D-80539 Munich, Germany","Department of Statistics, University of Munich, Ludwigstrasse 33, D-80539 Munich, Germany and"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Munich, Ludwigstrasse 33, D-80539 Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Department of Statistics, University of Munich, Ludwigstrasse 33, D-80539 Munich, Germany and","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030970430","display_name":"Konstantinos Fokianos","orcid":"https://orcid.org/0000-0002-0051-711X"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Konstantinos Fokianos","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Cyprus, P.O. Box 20537, 1678 Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Cyprus, P.O. Box 20537, 1678 Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000442405","display_name":"Korbinian Strimmer","orcid":"https://orcid.org/0000-0001-7917-2056"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Korbinian Strimmer","raw_affiliation_strings":["Department of Statistics, University of Munich, Ludwigstrasse 33, D-80539 Munich, Germany and"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Munich, Ludwigstrasse 33, D-80539 Munich, Germany and","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000442405"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":4.9185,"has_fulltext":true,"cited_by_count":304,"citation_normalized_percentile":{"value":0.9618814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"20","issue":"1","first_page":"5","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9943000078201294,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.991599977016449,"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/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5589454174041748},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.5567333102226257},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5163163542747498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4895339906215668},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.4856368601322174},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46876782178878784},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4402013421058655},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.43406254053115845},{"id":"https://openalex.org/keywords/gene-expression-profiling","display_name":"Gene expression profiling","score":0.42315536737442017},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.420291930437088},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4125472605228424},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.40023255348205566},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.39055734872817993},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3577616810798645},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.2597259283065796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2514880895614624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24967923760414124},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.22072753310203552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1134020984172821}],"concepts":[{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5589454174041748},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.5567333102226257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5163163542747498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4895339906215668},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.4856368601322174},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46876782178878784},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4402013421058655},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.43406254053115845},{"id":"https://openalex.org/C18431079","wikidata":"https://www.wikidata.org/wiki/Q1502169","display_name":"Gene expression profiling","level":4,"score":0.42315536737442017},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.420291930437088},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4125472605228424},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.40023255348205566},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.39055734872817993},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3577616810798645},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.2597259283065796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2514880895614624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24967923760414124},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.22072753310203552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1134020984172821}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/btg364","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btg364","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/20/1/5/48905249/bioinformatics_20_1_5.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/4562a1f2-d874-4b74-a177-e87b409dad82","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/4562a1f2-d874-4b74-a177-e87b409dad82","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wichert, S, Fokianos, K & Strimmer, K 2004, 'Identifying periodically expressed transcripts in microarray time series data', Bioinformatics, vol. 20, no. 1, pp. 5-20. https://doi.org/10.1093/bioinformatics/btg364","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/4562a1f2-d874-4b74-a177-e87b409dad82","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/identifying-periodically-expressed-transcripts-in-microarray-time-series-data(4562a1f2-d874-4b74-a177-e87b409dad82).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wichert, S, Fokianos, K & Strimmer, K 2004, 'Identifying periodically expressed transcripts in microarray time series data', Bioinformatics, vol. 20, no. 1, pp. 5-20. https://doi.org/10.1093/bioinformatics/btg364","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btg364","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btg364","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/20/1/5/48905249/bioinformatics_20_1_5.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6024419964","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2997000181.pdf","grobid_xml":"https://content.openalex.org/works/W2997000181.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1483505747","https://openalex.org/W1819101074","https://openalex.org/W1974948854","https://openalex.org/W1976110793","https://openalex.org/W2077505983","https://openalex.org/W2106822551","https://openalex.org/W2107725277","https://openalex.org/W2110065044","https://openalex.org/W2135657996","https://openalex.org/W2159309601","https://openalex.org/W2168525657","https://openalex.org/W4234600779","https://openalex.org/W4297440291"],"related_works":["https://openalex.org/W1536722219","https://openalex.org/W2364737130","https://openalex.org/W3984577","https://openalex.org/W2412120523","https://openalex.org/W170658859","https://openalex.org/W2081127504","https://openalex.org/W2490137852","https://openalex.org/W3023720143","https://openalex.org/W4310366902","https://openalex.org/W2320712057"],"abstract_inverted_index":{"Abstract":[0],"Motivation:":[1],"Microarray":[2],"experiments":[3],"are":[4],"now":[5],"routinely":[6],"used":[7],"to":[8,16,38,53,59,120,128,151,251,289,295],"collect":[9],"large-scale":[10],"time":[11,88,206],"series":[12,89,207],"data,":[13],"for":[14,79,101,245,259],"example":[15],"monitor":[17],"gene":[18,83,86,173],"expression":[19,87,174],"during":[20],"the":[21,41,60,94,105,111,141,146,162,179,182,190,198,225,256,260,263,266,309,317,320],"cell":[22,252,291],"cycle.":[23],"Statistical":[24],"analysis":[25,227],"of":[26,43,62,104,107,167,181,192,234,268,285,319],"this":[27],"data":[28,157,175,208,236,262],"poses":[29],"many":[30],"challenges,":[31],"one":[32,127],"being":[33],"that":[34,125,161,231],"it":[35,158,228],"is":[36,138,159,165,185,229,299],"hard":[37],"identify":[39,121],"correctly":[40],"subset":[42],"genes":[44,124,170,184,246,277],"with":[45,57,247],"a":[46,54,172,193,232],"clear":[47],"periodic":[48,108,130,248,276],"signature.":[49],"This":[50,135],"has":[51,305],"lead":[52],"controversial":[55],"argument":[56],"regard":[58],"suitability":[61],"both":[63],"available":[64,313],"methods":[65,78],"and":[66,82,144,188,220,294],"current":[67],"microarray":[68,205],"data.":[69,90,112,199],"Methods:":[70],"We":[71],"introduce":[72],"two":[73],"simple":[74],"but":[75],"efficient":[76],"statistical":[77,118,226,242],"signal":[80],"detection":[81],"selection":[84],"in":[85,110,171,197,308],"First,":[91],"we":[92,114,201],"suggest":[93],"average":[95],"periodogram":[96],"as":[97],"an":[98,116],"exploratory":[99],"device":[100],"graphical":[102],"assessment":[103],"presence":[106,191],"transcripts":[109,272],"Second,":[113],"describe":[115],"exact":[117],"test":[119],"periodically":[122],"expressed":[123],"allows":[126],"distinguish":[129],"from":[131,214,297,314],"purely":[132],"random":[133],"processes.":[134],"identification":[136],"method":[137,164,264],"based":[139],"on":[140,224],"so-called":[142],"g-statistic":[143],"uses":[145],"false":[147],"discovery":[148],"rate":[149],"approach":[150,304],"multiple":[152],"testing.":[153],"Results:":[154],"Using":[155],"simulated":[156],"shown":[160],"suggested":[163],"capable":[166],"identifying":[168,274],"cell-cycle-activated":[169],"set":[176],"even":[177],"if":[178],"number":[180],"cyclic":[183],"very":[186],"small":[187],"regardless":[189],"dominant":[194],"non-periodic":[195],"component":[196],"Subsequently,":[200],"re-examine":[202],"12":[203],"large":[204],"sets":[209,237],"(in":[210],"part":[211],"controversially":[212],"discussed)":[213],"yeast,":[215],"human":[216,218],"fibroblast,":[217],"HeLa":[219],"bacterial":[221],"cells.":[222],"Based":[223],"found":[230,279],"majority":[233],"these":[235],"contained":[238],"little":[239],"or":[240],"no":[241],"significant":[243],"evidence":[244],"variation":[249],"linked":[250],"cycle":[253,292],"regulation.":[254],"On":[255],"other":[257,281],"hand,":[258],"remaining":[261],"extends":[265],"catalog":[267],"previously":[269],"known":[270],"cell-cycle-specific":[271],"by":[273,280],"additional":[275],"not":[278],"methods.":[282],"The":[283,303],"problem":[284],"distinguishing":[286],"periodicity":[287],"due":[288],"generic":[290],"activity":[293],"artifacts":[296],"synchronization":[298],"also":[300],"discussed.":[301],"Availability:":[302],"been":[306],"implemented":[307],"R":[310],"package":[311],"GeneTS":[312],"http://www.stat.uni-muenchen.de/~strimmer/software.html":[315],"under":[316],"terms":[318],"GNU":[321],"General":[322],"Public":[323],"License.":[324]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
