{"id":"https://openalex.org/W2147615494","doi":"https://doi.org/10.1145/2382936.2383000","title":"A pattern mining based integrative framework for biomarker discovery","display_name":"A pattern mining based integrative framework for biomarker discovery","publication_year":2012,"publication_date":"2012-10-07","ids":{"openalex":"https://openalex.org/W2147615494","doi":"https://doi.org/10.1145/2382936.2383000","mag":"2147615494"},"language":"en","primary_location":{"id":"doi:10.1145/2382936.2383000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382936.2383000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://conservancy.umn.edu/bitstreams/d05dfadb-0d86-49c0-86ac-c730625cdf0c/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001532090","display_name":"Sanjoy Kumer Dey","orcid":"https://orcid.org/0000-0003-1236-7232"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sanjoy Dey","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043671103","display_name":"Kelvin O. Lim","orcid":"https://orcid.org/0000-0002-2390-7268"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kelvin Lim","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047757229","display_name":"Gowtham Atluri","orcid":"https://orcid.org/0000-0001-5619-6688"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gowtham Atluri","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020370129","display_name":"Angus W. MacDonald","orcid":"https://orcid.org/0000-0003-4588-931X"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angus MacDonald","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089436894","display_name":"Michael Steinbach","orcid":"https://orcid.org/0000-0002-7309-6395"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Steinbach","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645812","display_name":"Vipin Kumar","orcid":"https://orcid.org/0000-0002-9040-2665"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vipin Kumar","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001532090"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":1.4635,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88330896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"498","last_page":"505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9873999953269958,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090811133384705},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6046597361564636},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.5657690167427063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44318124651908875},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.43833833932876587},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3682122230529785},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3628157675266266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35571742057800293},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14344048500061035},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.07323333621025085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090811133384705},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6046597361564636},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.5657690167427063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44318124651908875},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.43833833932876587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3682122230529785},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3628157675266266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35571742057800293},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14344048500061035},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.07323333621025085},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2382936.2383000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382936.2383000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"},{"id":"pmh:oai:conservancy.umn.edu:11299/215880","is_oa":true,"landing_page_url":"http://hdl.handle.net/11299/215880","pdf_url":"https://conservancy.umn.edu/bitstreams/d05dfadb-0d86-49c0-86ac-c730625cdf0c/download","source":{"id":"https://openalex.org/S4306402521","display_name":"University of Minnesota Digital Conservancy (University of Minnesota)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130238516","host_organization_name":"University of Minnesota","host_organization_lineage":["https://openalex.org/I130238516"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Report"}],"best_oa_location":{"id":"pmh:oai:conservancy.umn.edu:11299/215880","is_oa":true,"landing_page_url":"http://hdl.handle.net/11299/215880","pdf_url":"https://conservancy.umn.edu/bitstreams/d05dfadb-0d86-49c0-86ac-c730625cdf0c/download","source":{"id":"https://openalex.org/S4306402521","display_name":"University of Minnesota Digital Conservancy (University of Minnesota)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130238516","host_organization_name":"University of Minnesota","host_organization_lineage":["https://openalex.org/I130238516"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Report"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2147615494.pdf","grobid_xml":"https://content.openalex.org/works/W2147615494.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1549565124","https://openalex.org/W1557065471","https://openalex.org/W1565377632","https://openalex.org/W1603575269","https://openalex.org/W1938740620","https://openalex.org/W1976899564","https://openalex.org/W1981970248","https://openalex.org/W2006204029","https://openalex.org/W2013502943","https://openalex.org/W2020541351","https://openalex.org/W2028197440","https://openalex.org/W2030764200","https://openalex.org/W2032267613","https://openalex.org/W2038538527","https://openalex.org/W2041951497","https://openalex.org/W2047031939","https://openalex.org/W2054985002","https://openalex.org/W2058704078","https://openalex.org/W2063575312","https://openalex.org/W2066277072","https://openalex.org/W2075154791","https://openalex.org/W2081689238","https://openalex.org/W2082253757","https://openalex.org/W2085041496","https://openalex.org/W2093065590","https://openalex.org/W2094170482","https://openalex.org/W2105491962","https://openalex.org/W2109743529","https://openalex.org/W2113506774","https://openalex.org/W2115836521","https://openalex.org/W2117007075","https://openalex.org/W2119878361","https://openalex.org/W2121215298","https://openalex.org/W2123064933","https://openalex.org/W2130410032","https://openalex.org/W2131878646","https://openalex.org/W2132022182","https://openalex.org/W2135253935","https://openalex.org/W2137911531","https://openalex.org/W2148245426","https://openalex.org/W2149966221","https://openalex.org/W2153483268","https://openalex.org/W2154947819","https://openalex.org/W2156821882","https://openalex.org/W2158219396","https://openalex.org/W2159123127","https://openalex.org/W2160024804","https://openalex.org/W2165015714","https://openalex.org/W2165673880","https://openalex.org/W2168301815","https://openalex.org/W2300607971","https://openalex.org/W2482589566","https://openalex.org/W2616754551","https://openalex.org/W3004387475","https://openalex.org/W3023428462","https://openalex.org/W4288080327","https://openalex.org/W6633375036"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,12,28],"high":[3],"throughput":[4],"data":[5,145],"collection":[6],"and":[7,112,143,159],"imaging":[8],"technologies":[9],"have":[10,43],"resulted":[11],"the":[13,25,44,48,69,108,136,148],"availability":[14],"of":[15,123],"diverse":[16,95],"biomedical":[17],"datasets":[18,38,105],"that":[19,32,165,175],"capture":[20,107],"complementary":[21],"information":[22,110],"pertaining":[23],"to":[24,46,88,106,117,134,169],"biological":[26,49],"processes":[27],"an":[29],"organism.":[30],"Biomarkers":[31],"are":[33,58,63],"discovered":[34],"by":[35,157],"integrating":[36],"such":[37],"obtained":[39],"from":[40,94,103,125],"case-control":[41],"studies":[42],"potential":[45],"elucidate":[47],"mechanisms":[50],"behind":[51],"complex":[52],"human":[53],"diseases.":[54],"Of":[55],"particular":[56],"importance":[57],"interaction-type":[59,91],"integrative":[60,85,92],"biomarker,":[61],"which":[62],"biomarkers":[64,93],"whose":[65],"features":[66],"can":[67],"explain":[68],"disease":[70],"when":[71,76],"taken":[72],"together,":[73],"but":[74],"not":[75],"considered":[77],"individually.":[78],"We":[79,128],"propose":[80],"a":[81],"pattern":[82],"mining":[83],"based":[84],"framework":[86],"(PAMIN)":[87],"discover":[89,170],"these":[90,115,176],"case":[96],"control":[97],"datasets.":[98,127],"PAMIN":[99,166],"first":[100],"finds":[101],"patterns":[102,116,120,174],"individual":[104],"available":[109],"separately":[111],"then":[113],"combines":[114],"find":[118],"integrated":[119,173],"(IPs)":[121],"consisting":[122],"variables":[124],"multiple":[126],"also":[129],"use":[130],"several":[131],"interestingness":[132],"measures":[133],"characterize":[135],"IPs":[137,149],"into":[138],"specific":[139],"categories.":[140],"Using":[141],"synthetic":[142],"real":[144],"we":[146],"compare":[147],"found":[150,156],"using":[151],"our":[152],"approach":[153],"with":[154],"those":[155],"CCA":[158],"discriminative-CCA":[160],"(dCCA).":[161],"Our":[162],"results":[163],"indicate":[164],"is":[167],"able":[168],"interaction":[171],"type":[172],"competing":[177],"approaches":[178],"cannot":[179],"find.":[180]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
