{"id":"https://openalex.org/W2093020263","doi":"https://doi.org/10.1145/1027527.1027710","title":"Content-based retrieval in gene expression databases","display_name":"Content-based retrieval in gene expression databases","publication_year":2004,"publication_date":"2004-10-10","ids":{"openalex":"https://openalex.org/W2093020263","doi":"https://doi.org/10.1145/1027527.1027710","mag":"2093020263"},"language":"en","primary_location":{"id":"doi:10.1145/1027527.1027710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1027527.1027710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057284370","display_name":"Tanveer Syeda-Mahmood","orcid":"https://orcid.org/0000-0003-0059-3208"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tanveer Syeda-Mahmood","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057284370"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"780","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T11269","display_name":"Algorithms and Data Compression","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/similarity","display_name":"Similarity (geometry)","score":0.6832615733146667},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.633374810218811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5903714895248413},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5612824559211731},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.52468341588974},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4998762607574463},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4859684705734253},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4617140293121338},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.44116321206092834},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.4228053092956543},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.4199896454811096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38844969868659973},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.371923565864563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3501451015472412},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29647302627563477},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17498144507408142},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1432054340839386},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13717088103294373},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09364798665046692}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6832615733146667},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.633374810218811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5903714895248413},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5612824559211731},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.52468341588974},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4998762607574463},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4859684705734253},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4617140293121338},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.44116321206092834},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.4228053092956543},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.4199896454811096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38844969868659973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.371923565864563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3501451015472412},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29647302627563477},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17498144507408142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1432054340839386},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13717088103294373},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09364798665046692},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1027527.1027710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1027527.1027710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1398084","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1398084/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Schulzrinne, H and Dimitrova, N and Sasse, MA and Moon, SB and Lienhart, R, (eds.) (pp. pp. 780-787). ACM (2004)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1587157435","https://openalex.org/W1996794795","https://openalex.org/W2034501924","https://openalex.org/W2068039256","https://openalex.org/W2103453943","https://openalex.org/W2133155955","https://openalex.org/W2142460132","https://openalex.org/W2165011536","https://openalex.org/W4236463097"],"related_works":["https://openalex.org/W2323025356","https://openalex.org/W2342977227","https://openalex.org/W3033216323","https://openalex.org/W4376875328","https://openalex.org/W3107710733","https://openalex.org/W2802349803","https://openalex.org/W2227662128","https://openalex.org/W1993584418","https://openalex.org/W2372745973","https://openalex.org/W2366015234"],"abstract_inverted_index":{"Research":[0],"in":[1,23,89],"the":[2,41,53,58,67,81,95,98,108,120,142,152,167],"field":[3],"of":[4,43,55,57,60,84,97,141],"content-based":[5,21],"retrieval":[6,22],"has":[7],"primarily":[8],"focused":[9],"on":[10,52,166],"image,":[11],"video":[12],"an":[13,74,86,111,113],"audio":[14],"information.":[15],"In":[16,37],"this":[17],"paper,":[18],"we":[19,39,65],"demonstrate":[20],"a":[24,49,90,127,148],"new":[25],"data":[26,31],"domain":[27],"called":[28],"gene":[29,34,69,78,100,132,144],"expression":[30,59,70],"derive":[32],"from":[33,48,94],"chip":[35],"images.":[36],"particular,":[38],"consider":[40],"problem":[42],"retrieving":[44],"functionally":[45],"similar":[46,157],"genes":[47,61,158],"database":[50,153],"based":[51],"pattern":[54],"variation":[56],"over":[62],"time.":[63],"Specifically,":[64],"model":[66],"time-varying":[68],"patterns":[71],"as":[72,147],"curves,":[73],"analyze":[75],"similarity":[76,129],"between":[77,131],"profiles":[79],"by":[80],"relative":[82,115],"amounts":[83],"twists":[85,110],"turns":[87,112],"produce":[88],"higher-imensional":[91],"curve":[92],"forme":[93],"projection":[96],"individual":[99,143],"profiles.":[101,133],"Scale-space":[102],"analysis":[103],"is":[104,123],"use":[105],"to":[106,119,125,150],"detect":[107],"sharp":[109],"their":[114],"strength":[116],"with":[117],"respect":[118],"component":[121],"curves":[122,136],"estimated":[124],"form":[126,138],"shape":[128],"measure":[130],"The":[134],"higher-dimensional":[135],"also":[137],"prototypical":[139],"escriptions":[140],"profiles,":[145],"serving":[146],"way":[149],"index":[151],"using":[154,162],"clustering.":[155],"Functionally":[156],"are":[159],"then":[160],"identified":[161],"scale-space":[163],"distance":[164],"metric":[165],"cluster":[168],"prototypes.":[169]},"counts_by_year":[],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
