{"id":"https://openalex.org/W2031165714","doi":"https://doi.org/10.1145/1854776.1854822","title":"Gene set analysis using principal components","display_name":"Gene set analysis using principal components","publication_year":2010,"publication_date":"2010-08-02","ids":{"openalex":"https://openalex.org/W2031165714","doi":"https://doi.org/10.1145/1854776.1854822","mag":"2031165714"},"language":"en","primary_location":{"id":"doi:10.1145/1854776.1854822","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","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/A5002419791","display_name":"Isa Kemal Pakatci","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isa Kemal Pakatci","raw_affiliation_strings":["University of North Carolina, Chapel Hill, NC","University of North Carolina, Chapel, Hill, NC#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Chapel Hill, NC","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina, Chapel, Hill, NC#TAB#","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of North Carolina, Chapel Hill, NC","University of North Carolina, Chapel, Hill, NC#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Chapel Hill, NC","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina, Chapel, Hill, NC#TAB#","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042463953","display_name":"Leonard McMillan","orcid":"https://orcid.org/0000-0002-8453-0847"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonard McMillan","raw_affiliation_strings":["University of North Carolina, Chapel Hill, NC","University of North Carolina, Chapel, Hill, NC#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Chapel Hill, NC","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina, Chapel, Hill, NC#TAB#","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13265007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"330","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","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/T10887","display_name":"Bioinformatics and Genomic Networks","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/T10885","display_name":"Gene expression and cancer classification","score":0.9987999796867371,"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":0.9947999715805054,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.845765233039856},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5829710364341736},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5622208714485168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5352320075035095},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49781131744384766},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.4704688489437103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.437602162361145},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4250684082508087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4234084486961365},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.388820618391037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3748778700828552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33835121989250183},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.26167863607406616},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2505318820476532},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07589563727378845}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.845765233039856},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5829710364341736},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5622208714485168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5352320075035095},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49781131744384766},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4704688489437103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.437602162361145},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4250684082508087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4234084486961365},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.388820618391037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3748778700828552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33835121989250183},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.26167863607406616},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2505318820476532},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07589563727378845},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1854776.1854822","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.220.8473","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.8473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.unc.edu/%7Eweiwang/paper/ACMBCB10_2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2199531038","display_name":null,"funder_award_id":"RD832720","funder_id":"https://openalex.org/F4320320835","funder_display_name":"Environmental Protection Agency"}],"funders":[{"id":"https://openalex.org/F4320320835","display_name":"Environmental Protection Agency","ror":"https://ror.org/05qbqeh37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1790978987","https://openalex.org/W2103017472","https://openalex.org/W2118069309","https://openalex.org/W2123106337","https://openalex.org/W2124388496","https://openalex.org/W2127938920","https://openalex.org/W2134889157","https://openalex.org/W2138133187","https://openalex.org/W2139036189","https://openalex.org/W2158323345","https://openalex.org/W2158384363","https://openalex.org/W2159482845","https://openalex.org/W2167119716","https://openalex.org/W2171437346","https://openalex.org/W3185389132"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W1968475104","https://openalex.org/W2899564673","https://openalex.org/W127355350","https://openalex.org/W2594414941"],"abstract_inverted_index":{"We":[0,78],"present":[1],"a":[2,34,91,94],"new":[3],"method":[4,64,110],"for":[5,45],"identifying":[6],"gene":[7],"sets":[8],"associated":[9],"with":[10,130],"labeled":[11],"samples,":[12],"where":[13],"the":[14,59,70,102,131],"labels":[15],"can":[16,55],"be":[17],"case":[18],"versus":[19],"control,":[20],"or":[21],"genotype":[22],"differences.":[23],"Existing":[24],"approaches":[25],"to":[26,39,66,90,127],"this":[27],"problem":[28],"assume":[29],"that":[30,108,113],"variations":[31,54],"observed":[32],"within":[33],"group":[35],"are":[36,114],"due":[37],"primarily":[38],"noise":[40],"and":[41,68,86],"they,":[42],"therefore,":[43],"look":[44],"significant":[46],"mean":[47],"shifts":[48],"between":[49,139],"groups.":[50,141],"Biological":[51],"evidence":[52],"suggests":[53],"also":[56],"result":[57],"from":[58],"coordination":[60],"of":[61,72,93,101,134],"genes.":[62],"Our":[63],"attempts":[65],"identify":[67],"assess":[69],"significance":[71,89],"changes":[73,112,136],"in":[74,137],"gene-gene":[75,80],"correlation":[76],"patterns.":[77],"model":[79],"correlations":[81],"using":[82],"principal":[83],"component":[84],"analysis":[85],"compare":[87],"their":[88],"baseline":[92],"linear":[95],"models":[96],"generated":[97],"by":[98,116],"random":[99],"permutations":[100],"sample":[103,140],"labels.":[104],"Simulation":[105],"results":[106],"show":[107],"our":[109],"detects":[111],"undetectable":[115],"Hotelling's":[117],"T2":[118],"method.":[119],"Its":[120],"performance":[121],"on":[122],"real":[123],"data":[124],"is":[125],"comparable":[126],"existing":[128],"methods":[129],"additional":[132],"capability":[133],"detecting":[135],"gene-interactions":[138]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}