{"id":"https://openalex.org/W2022737933","doi":"https://doi.org/10.1109/bibm.2012.6392652","title":"Significance analysis by minimizing false discovery rate","display_name":"Significance analysis by minimizing false discovery rate","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2022737933","doi":"https://doi.org/10.1109/bibm.2012.6392652","mag":"2022737933"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2012.6392652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2012.6392652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Bioinformatics and Biomedicine","raw_type":"proceedings-article"},"type":"article","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/A5024807371","display_name":"Yuanzhe Bei","orcid":null},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanzhe Bei","raw_affiliation_strings":["Computer Science Department, Brandeis University, Waltham, MA, USA","Computer Science Department, Brandeis University, Waltham, MA 02453#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Brandeis University, Waltham, MA, USA","institution_ids":["https://openalex.org/I6902469"]},{"raw_affiliation_string":"Computer Science Department, Brandeis University, Waltham, MA 02453#TAB#","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033168441","display_name":"Pengyu Hong","orcid":"https://orcid.org/0000-0002-3177-2754"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengyu Hong","raw_affiliation_strings":["Computer Science Department, Brandeis University, Waltham, MA, USA","Computer Science Department, Brandeis University, Waltham, MA 02453#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Brandeis University, Waltham, MA, USA","institution_ids":["https://openalex.org/I6902469"]},{"raw_affiliation_string":"Computer Science Department, Brandeis University, Waltham, MA 02453#TAB#","institution_ids":["https://openalex.org/I6902469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6902469"],"apc_list":null,"apc_paid":null,"fwci":0.1344,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51824385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"91","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9966999888420105,"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":0.9465000033378601,"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/false-discovery-rate","display_name":"False discovery rate","score":0.9384644031524658},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.6851433515548706},{"id":"https://openalex.org/keywords/significance-analysis-of-microarrays","display_name":"Significance analysis of microarrays","score":0.6568792462348938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301038265228271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49811315536499023},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.4545918107032776},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24540629982948303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20098692178726196},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09707662463188171},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.06785833835601807}],"concepts":[{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.9384644031524658},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.6851433515548706},{"id":"https://openalex.org/C77360908","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Significance analysis of microarrays","level":5,"score":0.6568792462348938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301038265228271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49811315536499023},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.4545918107032776},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24540629982948303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20098692178726196},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09707662463188171},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.06785833835601807},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2012.6392652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2012.6392652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Bioinformatics and Biomedicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1526783415","https://openalex.org/W1549870369","https://openalex.org/W1982722271","https://openalex.org/W1990303174","https://openalex.org/W1993791990","https://openalex.org/W1995655017","https://openalex.org/W1997666894","https://openalex.org/W2036760266","https://openalex.org/W2040228345","https://openalex.org/W2041646382","https://openalex.org/W2066878158","https://openalex.org/W2074466695","https://openalex.org/W2075484507","https://openalex.org/W2080204105","https://openalex.org/W2085444785","https://openalex.org/W2096673955","https://openalex.org/W2103017472","https://openalex.org/W2105381419","https://openalex.org/W2107151108","https://openalex.org/W2110065044","https://openalex.org/W2114328455","https://openalex.org/W2116237065","https://openalex.org/W2123788288","https://openalex.org/W2127213742","https://openalex.org/W2133465414","https://openalex.org/W2157795344","https://openalex.org/W2158217645","https://openalex.org/W2161023666","https://openalex.org/W4205110562","https://openalex.org/W4252684946","https://openalex.org/W4294107304"],"related_works":["https://openalex.org/W4293336298","https://openalex.org/W2467227750","https://openalex.org/W2093104131","https://openalex.org/W2178204436","https://openalex.org/W4300887971","https://openalex.org/W2377438999","https://openalex.org/W2364737130","https://openalex.org/W2022737933","https://openalex.org/W2145261680","https://openalex.org/W2113401332"],"abstract_inverted_index":{"False":[0],"discovery":[1],"rate":[2],"(FDR)":[3],"control":[4],"is":[5,44,88],"widely":[6],"practiced":[7],"to":[8],"correct":[9],"for":[10],"multiple":[11],"comparisons":[12],"in":[13],"selecting":[14],"statistically":[15],"significant":[16,42],"features":[17,43],"from":[18],"genome-wide":[19],"datasets.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"present":[25],"an":[26],"advanced":[27],"significance":[28,53],"analysis":[29,54],"method":[30],"called":[31],"miFDR":[32,87],"that":[33,86],"minimizes":[34],"FDR":[35],"when":[36],"the":[37,40,63,68],"number":[38],"of":[39,60,74],"required":[41],"fixed.":[45],"We":[46],"compared":[47],"our":[48],"approach":[49,65,70],"with":[50],"other":[51],"well-known":[52],"approaches":[55],"such":[56],"as":[57],"Significance":[58],"Analysis":[59],"Microarrays":[61],"[1-3],":[62],"Benjamini-Hochberg":[64],"[4]":[66],"and":[67,80],"Storey":[69],"[5].":[71],"The":[72],"results":[73],"using":[75],"both":[76],"simulated":[77],"data":[78,83],"sets":[79,84],"public":[81],"microarray":[82],"demonstrated":[85],"more":[89],"powerful.":[90]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}