{"id":"https://openalex.org/W2963127739","doi":"https://doi.org/10.1093/bioinformatics/btz561","title":"GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis","display_name":"GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2963127739","doi":"https://doi.org/10.1093/bioinformatics/btz561","mag":"2963127739","pmid":"https://pubmed.ncbi.nlm.nih.gov/31329248"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btz561","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btz561","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7869776","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082576658","display_name":"Adib Shafi","orcid":"https://orcid.org/0000-0002-2066-6163"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adib Shafi","raw_affiliation_strings":["Department of Computer Science, Wayne State University , Detroit, MI 48202, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University , Detroit, MI 48202, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018043372","display_name":"Tin Nguyen","orcid":"https://orcid.org/0000-0001-8001-9470"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tin Nguyen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nevada , Reno, NV 89557, USA"],"raw_orcid":"https://orcid.org/0000-0001-8001-9470","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada , Reno, NV 89557, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084492308","display_name":"Azam Peyvandipour","orcid":"https://orcid.org/0000-0002-8073-3348"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azam Peyvandipour","raw_affiliation_strings":["Department of Computer Science, Wayne State University , Detroit, MI 48202, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University , Detroit, MI 48202, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006190733","display_name":"Sorin Dr\u0103ghici","orcid":"https://orcid.org/0000-0002-0786-8377"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sorin Draghici","raw_affiliation_strings":["Department of Computer Science, Wayne State University , Detroit, MI 48202, USA","Department of Obstetrics and Gynecology, Wayne State University , Detroit, MI 48202, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University , Detroit, MI 48202, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Department of Obstetrics and Gynecology, Wayne State University , Detroit, MI 48202, USA","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006190733"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":1.445,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.82003062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"2","first_page":"487","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.5740000009536743,"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":0.5740000009536743,"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":0.07850000262260437,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.053199999034404755,"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/computer-science","display_name":"Computer science","score":0.6816737651824951},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6667856574058533},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6196293234825134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5790326595306396},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5497152209281921},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5235462188720703},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.516918420791626},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4814411997795105},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.46920815110206604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41564685106277466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33719587326049805},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.33278900384902954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1957593560218811},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15627166628837585},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12163874506950378},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09318920969963074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816737651824951},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6667856574058533},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6196293234825134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5790326595306396},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5497152209281921},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5235462188720703},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.516918420791626},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4814411997795105},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.46920815110206604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41564685106277466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33719587326049805},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.33278900384902954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1957593560218811},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15627166628837585},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12163874506950378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09318920969963074},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","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":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/btz561","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btz561","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:31329248","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31329248","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":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7869776","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7869776","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7869776","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7869776","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1968184856","display_name":"SBIR Phase II:  A multi-omics data integration approach for precision medicine and improved clinical trial success","funder_award_id":"1853207","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3627235954","display_name":"NEW DISEASE-ASSOCIATED REGULATORS OF MITOCHONDRIAL RESPIRATION AND STRESS RESPONSE","funder_award_id":"W81XWH1610516","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G5270103439","display_name":null,"funder_award_id":"R01DK107666","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337357","display_name":"National Institute of Diabetes and Digestive and Kidney Diseases","ror":"https://ror.org/00adh9b73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W16196038","https://openalex.org/W1500032029","https://openalex.org/W1533179050","https://openalex.org/W1533335653","https://openalex.org/W1546952499","https://openalex.org/W1898442347","https://openalex.org/W1964042173","https://openalex.org/W1968362444","https://openalex.org/W1972719726","https://openalex.org/W1987462684","https://openalex.org/W1995920563","https://openalex.org/W1998712640","https://openalex.org/W1999406353","https://openalex.org/W1999794509","https://openalex.org/W2008458159","https://openalex.org/W2009034184","https://openalex.org/W2017170340","https://openalex.org/W2024990640","https://openalex.org/W2027783468","https://openalex.org/W2048754633","https://openalex.org/W2064015154","https://openalex.org/W2069778960","https://openalex.org/W2074277704","https://openalex.org/W2078719965","https://openalex.org/W2082786279","https://openalex.org/W2086211531","https://openalex.org/W2090430963","https://openalex.org/W2094953050","https://openalex.org/W2097554668","https://openalex.org/W2103835486","https://openalex.org/W2106537627","https://openalex.org/W2107986563","https://openalex.org/W2110350344","https://openalex.org/W2126999247","https://openalex.org/W2128361433","https://openalex.org/W2129099812","https://openalex.org/W2132561013","https://openalex.org/W2136000921","https://openalex.org/W2141369175","https://openalex.org/W2143364665","https://openalex.org/W2148139839","https://openalex.org/W2154981570","https://openalex.org/W2157132621","https://openalex.org/W2158940923","https://openalex.org/W2159482845","https://openalex.org/W2163296862","https://openalex.org/W2167698839","https://openalex.org/W2167980479","https://openalex.org/W2223511468","https://openalex.org/W2255394077","https://openalex.org/W2330304652","https://openalex.org/W2469942742","https://openalex.org/W2522364850","https://openalex.org/W2591513009","https://openalex.org/W2605449204","https://openalex.org/W2736848882","https://openalex.org/W2923843435","https://openalex.org/W2952253916","https://openalex.org/W3102660612","https://openalex.org/W4205470728","https://openalex.org/W4213411560","https://openalex.org/W4230964139","https://openalex.org/W4292027056","https://openalex.org/W4294216483","https://openalex.org/W6600655821","https://openalex.org/W6679133812","https://openalex.org/W6683356575","https://openalex.org/W6684458860","https://openalex.org/W6719900922"],"related_works":["https://openalex.org/W2349924039","https://openalex.org/W4225815706","https://openalex.org/W2142056543","https://openalex.org/W3003558595","https://openalex.org/W2952843659","https://openalex.org/W2883778230","https://openalex.org/W4225365170","https://openalex.org/W1974975370","https://openalex.org/W4240377218","https://openalex.org/W263525469"],"abstract_inverted_index":{"MOTIVATION:":[0],"Recent":[1],"advances":[2],"in":[3,14,25,212,228],"biomedical":[4],"research":[5],"have":[6,59],"made":[7],"massive":[8],"amount":[9],"of":[10,123,157,165,207,214,233],"transcriptomic":[11],"data":[12,239],"available":[13,241],"public":[15],"repositories":[16],"from":[17,36],"different":[18],"sources.":[19],"Due":[20],"to":[21,69,93,138,153],"the":[22,26,89,140,163,166,199,205,208],"heterogeneity":[23],"present":[24],"individual":[27,81],"experiments,":[28],"identifying":[29],"reproducible":[30,118],"biomarkers":[31],"for":[32,79,172],"a":[33,42,101,111,124,130,145,158],"given":[34,125,159],"disease":[35,170,176],"multiple":[37,120],"independent":[38,121,190],"studies":[39,122],"has":[40],"become":[41],"major":[43,63],"challenge.":[44],"The":[45,127,195,221],"widely":[46],"used":[47,137,152,227],"meta-analysis":[48,103,210],"approaches,":[49],"such":[50],"as":[51,217,219],"Fisher's":[52],"method,":[53,55],"Stouffer's":[54],"minP":[56],"and":[57,71,83,109,117,144,174,231],"maxP,":[58],"at":[60,242],"least":[61],"two":[62],"limitations:":[64],"(i)":[65],"they":[66,73],"are":[67,185,240],"sensitive":[68],"outliers,":[70],"(ii)":[72],"perform":[74],"only":[75],"one":[76],"statistical":[77,95],"test":[78,147],"each":[80],"study,":[82],"hence":[84],"do":[85],"not":[86],"fully":[87],"utilize":[88],"potential":[90],"sample":[91],"size":[92],"gain":[94],"power.":[96],"RESULTS:":[97],"Here,":[98],"we":[99],"propose":[100],"gene-level":[102],"framework":[104,167],"that":[105,114,134,149,198],"overcomes":[106],"these":[107],"limitations":[108],"identifies":[110],"gene":[112],"signature":[113,133,148],"is":[115],"reliable":[116],"across":[119],"disease.":[126,160],"approach":[128,201],"provides":[129],"comprehensive":[131],"global":[132],"can":[135,150],"be":[136,151,225],"understand":[139],"underlying":[141],"biological":[142],"phenomena,":[143],"smaller":[146],"classify":[154],"future":[155],"samples":[156],"We":[161],"demonstrate":[162],"utility":[164],"by":[168],"constructing":[169],"signatures":[171,184,223],"influenza":[173],"Alzheimer's":[175],"using":[177],"nine":[178],"datasets":[179,191],"including":[180,192],"1108":[181],"individuals.":[182,194],"These":[183],"then":[186],"validated":[187],"on":[188],"12":[189],"912":[193],"results":[196],"indicate":[197],"proposed":[200,222],"performs":[202],"better":[203],"than":[204],"majority":[206],"existing":[209],"approaches":[211],"terms":[213],"both":[215],"sensitivity":[216],"well":[218],"specificity.":[220],"could":[224],"further":[226],"diagnosis,":[229],"prognosis":[230],"identification":[232],"therapeutic":[234],"targets.":[235],"SUPPLEMENTARY":[236],"INFORMATION:":[237],"Supplementary":[238],"Bioinformatics":[243],"online.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}