{"id":"https://openalex.org/W2151678134","doi":"https://doi.org/10.1186/1752-0509-1-s1-p9","title":"Integration and analysis of heterogeneous microarray data sources for supporting drug target identification in atherosclerosis","display_name":"Integration and analysis of heterogeneous microarray data sources for supporting drug target identification in atherosclerosis","publication_year":2007,"publication_date":"2007-05-08","ids":{"openalex":"https://openalex.org/W2151678134","doi":"https://doi.org/10.1186/1752-0509-1-s1-p9","mag":"2151678134"},"language":"en","primary_location":{"id":"doi:10.1186/1752-0509-1-s1-p9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1752-0509-1-s1-p9","pdf_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-1-S1-P9","source":{"id":"https://openalex.org/S92363890","display_name":"BMC Systems Biology","issn_l":"1752-0509","issn":["1752-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Systems Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-1-S1-P9","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112223132","display_name":"Anyela Camargo","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anyela Camargo","raw_affiliation_strings":["University of Ulster at Jordanstown, School of Computing and Mathematics, Shore Road, Newtownabbey, Co., Antrim, BT37 0QB, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulster at Jordanstown, School of Computing and Mathematics, Shore Road, Newtownabbey, Co., Antrim, BT37 0QB, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050612781","display_name":"Francisco Azuaje","orcid":"https://orcid.org/0000-0002-9207-9072"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francisco Azuaje","raw_affiliation_strings":["Systems Biology Research Group, University of Ulster, Coleraine, Northern Ireland","University of Ulster at Jordanstown, School of Computing and Mathematics, Shore Road, Newtownabbey, Co., Antrim, BT37 0QB, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Biology Research Group, University of Ulster, Coleraine, Northern Ireland","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"University of Ulster at Jordanstown, School of Computing and Mathematics, Shore Road, Newtownabbey, Co., Antrim, BT37 0QB, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112223132"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":{"value":2290,"currency":"USD","value_usd":2290},"apc_paid":{"value":2290,"currency":"USD","value_usd":2290},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14508937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"S1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12955","display_name":"Atherosclerosis and Cardiovascular Diseases","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12955","display_name":"Atherosclerosis and Cardiovascular Diseases","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.9939000010490417,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6914230585098267},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5959110260009766},{"id":"https://openalex.org/keywords/systems-biology","display_name":"Systems biology","score":0.5484325885772705},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.545081615447998},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.45620015263557434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.382560133934021},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3794543147087097},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3570830821990967},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15248817205429077},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.13945218920707703},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.11764603853225708},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.11294233798980713}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6914230585098267},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5959110260009766},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.5484325885772705},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.545081615447998},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.45620015263557434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.382560133934021},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3794543147087097},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3570830821990967},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15248817205429077},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.13945218920707703},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.11764603853225708},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.11294233798980713},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/1752-0509-1-s1-p9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1752-0509-1-s1-p9","pdf_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-1-S1-P9","source":{"id":"https://openalex.org/S92363890","display_name":"BMC Systems Biology","issn_l":"1752-0509","issn":["1752-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Systems Biology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eca480c43ae34b648438eab9975b6f52","is_oa":false,"landing_page_url":"https://doaj.org/article/eca480c43ae34b648438eab9975b6f52","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Systems Biology, Vol 1, Iss Suppl 1, p P9 (2007)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/1752-0509-1-s1-p9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1752-0509-1-s1-p9","pdf_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-1-S1-P9","source":{"id":"https://openalex.org/S92363890","display_name":"BMC Systems Biology","issn_l":"1752-0509","issn":["1752-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Systems Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2151678134.pdf","grobid_xml":"https://content.openalex.org/works/W2151678134.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2324841714"],"related_works":["https://openalex.org/W4206379684","https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2366105490","https://openalex.org/W2580680567","https://openalex.org/W4287027430","https://openalex.org/W3107784576","https://openalex.org/W4285170202"],"abstract_inverted_index":{"Atherosclerosis":[0,38],"is":[1,39,69],"one":[2],"of":[3,7,17,47,53,61,98,112,139,147,212,226,237,263,287,290,300,331,345,382,389,405,430,447,488],"the":[4,15,27,51,79,96,110,122,135,145,156,180,209,233,238,240,285,297,301,326,329,343,406,417,426,443,479],"major":[5],"causes":[6],"morbidity":[8],"and":[9,65,75,85,102,137,164,173,178,258,322,339,355,367,374,380,391,420,438,445,465],"mortality":[10],"in":[11,43,63,66,78,117,128,198,202,249,276,304,358,478,500,505],"industrialised":[12],"countries.":[13],"Despite":[14],"introduction":[16],"new":[18],"pharmacological":[19],"drugs,":[20],"this":[21,129,305,483],"tendency":[22],"continues":[23],"to":[24,71,95,108,143,296,308,318,342,370,402,416,461,502],"grow":[25],"as":[26,253,497],"world":[28],"changes":[29],"food":[30],"habits":[31],"that":[32,104,394,468],"fit":[33],"into":[34],"people's":[35],"life":[36],"styles.":[37],"an":[40],"inflammatory":[41],"disease":[42,80,115,168,319,378,418],"which":[44,349,376,494],"high":[45],"concentrations":[46],"cholesterol":[48],"accumulate":[49],"around":[50],"wall":[52],"blood":[54],"vessels":[55],"[":[56],"1":[57,120,410],"].":[58],"The":[59,92,188,204,220,261,360],"implementation":[60],"large-scale":[62],"vitro":[64],"silico":[67],"research":[68,83],"fundamental":[70],"discover":[72],"significant":[73,264,294],"patterns":[74,211,366,464],"pathways":[76,103,340],"involved":[77],"progression.":[81,507],"This":[82,384,422],"integrates":[84],"analyses":[86,222],"two":[87,185],"heterogeneous":[88,151,431],"microarray":[89,140,432],"data":[90,124,141,152,181,218,433,456],"sets.":[91,219],"study":[93,206,268,306,327,361,423],"led":[94],"identification":[97,286,444],"genes,":[99,194],"biological":[100,235,251,365,392],"processes":[101,252,393,400],"may":[105,350,412,441,458,469],"be":[106,351,396,413,470],"used":[107],"determine":[109],"progression":[111,146,419],"coronary":[113,166],"artery":[114,167],"(CAD)":[116,169],"humans.":[118],"Figure":[119],"illustrates":[121],"integrative":[123,455],"mining":[125,132,283,457],"procedure":[126],"implemented":[127],"study.":[130],"Data":[131],"methodology":[133],"for":[134],"integration":[136,429],"analysis":[138],"relevant":[142,317,401],"understand":[144],"human":[148,165],"atherosclerosis.":[149,313,359,403],"Two":[150],"sets":[153],"obtained":[154],"from":[155,266],"GEO":[157],"(Gene":[158],"expression":[159,210,344],"Omnibus):":[160],"Aortic":[161],"stiffness":[162],"(AS)":[163],"studies":[170,474],"were":[171,182,242,269,475,492],"analysed":[172,183],"integrated.":[174],"After":[175],"normalisation,":[176],"scaling":[177],"harmonisation,":[179],"upon":[184],"different":[186,250],"approaches.":[187],"first":[189,480],"approach":[190],"focused":[191,207],"on":[192,208,246,272],"uncommon":[193],"i.e.":[195],"those":[196],"included":[197],"AS":[199],"but":[200],"not":[201],"CAD.":[203],"second":[205],"common":[213],"genes":[214,241,265,295,302,315,333,368,390,407,491],"shared":[215],"by":[216,255],"both":[217],"latter":[221],"yielded":[223],"a":[224,288,387,486],"list":[225,289,388],"significantly":[227],"differentiated":[228],"expressed":[229],"genes.":[230],"To":[231],"verify":[232],"potential":[234,448],"significance":[236],"results":[239],"furthered":[243],"assessed":[244],"based":[245,271],"their":[247,273,503],"involvements":[248],"defined":[254],"GO-driven":[256],"annotations":[257],"published":[259,439],"papers.":[260],"lists":[262],"each":[267],"ranked":[270],"relevance":[274],"encoded":[275],"public,":[277],"external":[278],"functional":[279,435],"databases.":[280],"Additionally,":[281],"text":[282],"allowed":[284],"documents":[291],"relating":[292],"such":[293],"disease.":[298],"Many":[299],"identified":[303,363],"proved":[307],"have":[309],"strong":[310],"relations":[311],"with":[312,353,399],"Some":[314,404],"are":[316,495],"control,":[320],"severity":[321],"progress.":[323],"For":[324],"instance,":[325],"stresses":[328],"roles":[330,504],"key":[332,364],"(e.g.":[334],"TNFRSF1B":[335],",":[336],"MAP2K1":[337],")":[338,411],"linked":[341],"antimicrobial":[346],"peptides":[347],"defensins,":[348],"associated":[352,398],"inflammation":[354],"lipid":[356],"accumulation":[357],"also":[362,452],"related":[369,415],"\"programmed":[371],"cell":[372],"death\"":[373],"\"apoptosis\",":[375],"describe":[377],"state":[379],"degree":[381],"degeneration.":[383],"investigation":[385],"generated":[386],"can":[395],"strongly":[397],"highlighted":[408],"(Figure":[409],"directly":[414],"control.":[421],"shows":[424],"how":[425,454],"large-scale,":[427],"computational":[428],"sets,":[434],"annotation":[436],"databases":[437],"literature":[440],"support":[442],"assessment":[446],"therapeutic":[449],"targets.":[450],"It":[451],"demonstrates":[453],"allow":[459],"scientists":[460],"recover":[462],"essential":[463],"unknown":[466],"relationships":[467],"overlooked":[471],"when":[472],"single":[473],"carried":[476],"out":[477],"place.":[481],"In":[482],"particular":[484],"case,":[485],"set":[487],"representative":[489],"disease-related":[490],"detected,":[493],"suggested":[496],"testable":[498],"hypotheses":[499],"relation":[501],"CAD":[506]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2016-06-24T00:00:00"}