{"id":"https://openalex.org/W2052241029","doi":"https://doi.org/10.1142/s0219720013410060","title":"CLASSIFYING TEMPORAL MICROARRAY DATA BY SELECTING INFORMATIVE GENES","display_name":"CLASSIFYING TEMPORAL MICROARRAY DATA BY SELECTING INFORMATIVE GENES","publication_year":2013,"publication_date":"2013-02-19","ids":{"openalex":"https://openalex.org/W2052241029","doi":"https://doi.org/10.1142/s0219720013410060","mag":"2052241029","pmid":"https://pubmed.ncbi.nlm.nih.gov/23796183"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720013410060","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720013410060","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5001281583","display_name":"Qiang Lou","orcid":"https://orcid.org/0009-0006-4902-4304"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"QIANG LOU","raw_affiliation_strings":["Center for Data Analytics and Biomedical, Informatics Temple University, Philadelphia, Pennsylvania, USA","Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical, Informatics Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ZORAN OBRADOVIC","raw_affiliation_strings":["Center for Data Analytics and Biomedical, Informatics Temple University, Philadelphia, Pennsylvania, USA","Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical, Informatics Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08429943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"03","first_page":"1341006","last_page":"1341006"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9932000041007996,"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/feature-selection","display_name":"Feature selection","score":0.6690772771835327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564247608184814},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6426197290420532},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5715234875679016},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5710018873214722},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5542848110198975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393886566162109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.53645259141922},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.493866503238678},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47024717926979065},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4522566795349121},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.43808290362358093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3037082254886627}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6690772771835327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564247608184814},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6426197290420532},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5715234875679016},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5710018873214722},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5542848110198975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393886566162109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53645259141922},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.493866503238678},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47024717926979065},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4522566795349121},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.43808290362358093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3037082254886627},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007251","descriptor_name":"Influenza, Human","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D007251","descriptor_name":"Influenza, Human","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D007251","descriptor_name":"Influenza, Human","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219720013410060","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720013410060","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:23796183","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23796183","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of bioinformatics and computational biology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W156738858","https://openalex.org/W1661871015","https://openalex.org/W1781708955","https://openalex.org/W1970117329","https://openalex.org/W1977635314","https://openalex.org/W1983575673","https://openalex.org/W2015932775","https://openalex.org/W2017337590","https://openalex.org/W2043035462","https://openalex.org/W2085764144","https://openalex.org/W2139710299","https://openalex.org/W2148830179"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"In":[0,105,125],"order":[1],"to":[2,17,60,65,154],"more":[3],"accurately":[4],"predict":[5],"an":[6],"individual's":[7],"health":[8],"status,":[9],"in":[10,32,103,160,189],"clinical":[11],"applications":[12],"it":[13],"is":[14,39,48,64,123],"often":[15],"important":[16],"perform":[18,66],"analysis":[19],"of":[20,43,55,148],"high-dimensional":[21],"gene":[22,120],"expression":[23,121],"data":[24,38,91,98,122,135,174,188],"that":[25,40,95,112,178],"varies":[26],"with":[27],"time.":[28],"A":[29],"major":[30],"challenge":[31,63],"predicting":[33],"from":[34,118,136],"such":[35],"temporal":[36,90,97,119,134,149,158,187],"microarray":[37],"the":[41,53,130,145,182,186],"number":[42,54],"biomarkers":[44],"used":[45],"as":[46,69],"features":[47,117],"typically":[49],"much":[50],"larger":[51],"than":[52],"labeled":[56],"subjects.":[57,138],"One":[58],"way":[59],"address":[61],"this":[62,106,141],"feature":[67,84,109,152],"selection":[68,85,110,153],"a":[70,76,100,108],"preprocessing":[71],"step":[72],"and":[73,170],"then":[74],"apply":[75],"classification":[77],"method":[78,180],"on":[79,140,168],"selected":[80],"features.":[81],"However,":[82],"traditional":[83],"methods":[86],"cannot":[87],"handle":[88],"multivariate":[89,133],"without":[92],"applying":[93],"techniques":[94],"flatten":[96,185],"into":[99],"single":[101],"matrix":[102],"advance.":[104,190],"study,":[107],"filter":[111],"can":[113],"directly":[114],"select":[115],"informative":[116],"proposed.":[124],"our":[126,179],"approach,":[127],"we":[128,143],"measure":[129],"distance":[131],"between":[132],"two":[137,171],"Based":[139],"distance,":[142],"define":[144],"objective":[146],"function":[147],"margin":[150,159],"based":[151],"maximize":[155],"each":[156],"subject's":[157],"its":[161],"own":[162],"relevant":[163],"subspace.":[164],"The":[165],"experimental":[166],"results":[167],"synthetic":[169],"real":[172],"flu":[173],"sets":[175],"provide":[176],"evidence":[177],"outperforms":[181],"alternatives,":[183],"which":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}