{"id":"https://openalex.org/W7100266288","doi":null,"title":"Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome","display_name":"Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome","publication_year":2013,"publication_date":"2013-09-21","ids":{"openalex":"https://openalex.org/W7100266288"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.352.3133","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.3133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dabi.temple.edu/~zoran/papers/xie06.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5015750970","display_name":"Hongbo Michael Xie","orcid":"https://orcid.org/0000-0003-2223-0029","observed_orcids":["https://orcid.org/0000-0003-2223-0029"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbo Xie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovic A","orcid":"https://orcid.org/0000-0002-2051-0142","observed_orcids":["https://orcid.org/0000-0002-2051-0142"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zoran Obradovic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059847153","display_name":"Slobodan Vu\u010deti\u0107","orcid":"https://orcid.org/0000-0001-5884-6293","observed_orcids":["https://orcid.org/0000-0001-5884-6293"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Slobodan Vucetic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53711157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11282","display_name":"Fibromyalgia and Chronic Fatigue Syndrome Research","score":0.6499000191688538,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11282","display_name":"Fibromyalgia and Chronic Fatigue Syndrome Research","score":0.6499000191688538,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.30959999561309814,"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":0.013299999758601189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chronic-fatigue-syndrome","display_name":"chronic fatigue syndrome","score":1.0},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"biomarker discovery","score":0.7210000157356262},{"id":"https://openalex.org/keywords/gene-expression-profiling","display_name":"gene expression profiling","score":0.7429999709129333},{"id":"https://openalex.org/keywords/proteomics","display_name":"proteomics","score":0.6840000152587891},{"id":"https://openalex.org/keywords/microarray-data","display_name":"microarray data","score":0.6499999761581421},{"id":"https://openalex.org/keywords/gene-ontology","display_name":"Gene Ontology","score":0.7429999709129333},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6890000104904175},{"id":"https://openalex.org/keywords/mrna-processing","display_name":"mRNA processing","score":0.8349999785423279},{"id":"https://openalex.org/keywords/clinical-data-integration","display_name":"clinical data integration","score":0.7680000066757202},{"id":"https://openalex.org/keywords/disease-classification","display_name":"disease classification","score":0.44200000166893005}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6606000065803528},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.61080002784729},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C2779566273","wikidata":"https://www.wikidata.org/wiki/Q209733","display_name":"Chronic fatigue syndrome","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.5221999883651733},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.49619999527931213},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.46059998869895935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44859999418258667},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.41690000891685486},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.40799999237060547},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34769999980926514},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.3465999960899353},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3330000042915344},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C2987395477","wikidata":"https://www.wikidata.org/wiki/Q135085","display_name":"Gene ontology","level":4,"score":0.2851000130176544},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.2745000123977661},{"id":"https://openalex.org/C18431079","wikidata":"https://www.wikidata.org/wiki/Q1502169","display_name":"Gene expression profiling","level":4,"score":0.2556999921798706},{"id":"https://openalex.org/C548314002","wikidata":"https://www.wikidata.org/wiki/Q6839218","display_name":"Microarray databases","level":5,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.352.3133","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.3133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dabi.temple.edu/~zoran/papers/xie06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.98580002784729,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7101140431","https://openalex.org/W2593250447","https://openalex.org/W1551336471","https://openalex.org/W1965343383","https://openalex.org/W113208990","https://openalex.org/W1968483952","https://openalex.org/W2072475228","https://openalex.org/W7099098442","https://openalex.org/W1991694470","https://openalex.org/W2148088721"],"abstract_inverted_index":{"Abstract.":[0],"Chronic":[1],"Fatigue":[2],"Syndrome":[3],"(CFS)":[4],"is":[5,12,56,61,64,147,202,207],"a":[6,44,73,140,244],"recently":[7],"recognized":[8],"disease":[9],"whose":[10,145],"pathophysiology":[11],"insufficiently":[13],"understood.":[14],"The":[15,58,78],"objective":[16],"of":[17,26,49,70,76,83,101,134,143,218,222,239,247],"this":[18],"study":[19],"was":[20],"to":[21,107,151],"explore":[22],"if":[23],"identification":[24,133,230],"accuracy":[25,172,189],"CFS":[27,51,63,229],"could":[28],"be":[29],"improved":[30],"using":[31,89,175],"microarray":[32,54,224],"and":[33,225],"proteomics":[34,226],"data":[35,55,227],"alone":[36],"or":[37],"when":[38,174,190],"integrated":[39],"with":[40,123,209],"clinical":[41],"data.":[42],"First,":[43],"two-step":[45,168],"approach":[46,79,137,169],"for":[47,132,237],"selection":[48,82,191],"genetic":[50],"biomarkers":[52,131,144],"from":[53,72],"proposed.":[57],"underlying":[59],"assumption":[60],"that":[62,111,160,199],"characterized":[65],"by":[66,81,88,115,166,178],"deviations":[67],"in":[68,139,228],"expression":[69],"genes":[71,87,104,121,164,176],"limited":[74],"set":[75,142],"functions.":[77],"starts":[80],"significantly":[84],"differentially":[85],"expressed":[86],"standard":[90,235],"statistical":[91],"testing":[92],"procedure.":[93],"Using":[94,233],"Gene":[95],"Ontology":[96],"(GO)":[97],"resource,":[98],"biological":[99],"functions":[100],"the":[102,109,116,119,124,148,167,179,197,203,210,215,219,234],"selected":[103,120,129],"are":[105,112,128],"studied":[106],"discover":[108],"ones":[110],"highly":[113],"overrepresented":[114],"selection.":[117],"Only":[118],"annotated":[122],"most":[125,149,204],"significant":[126],"function":[127,146,206],"as":[130,162],"CFS.":[135,152,248],"This":[136],"results":[138,250],"small":[141],"relevant":[150],"In":[153,214],"our":[154],"experiments":[155],"Support":[156],"Vector":[157],"Machine":[158],"(SVM)":[159],"uses":[161],"attributes":[163],"obtained":[165,177],"achieved":[170],"higher":[171],"than":[173],"traditional":[180],"one-step":[181],"approach.":[182],"(e.g.":[183],"72":[184],"%":[185,188],"vs":[186],"53":[187],"based":[192],"on":[193,251],"p-value":[194],"0.05).":[195],"Moreover,":[196],"finding":[198],"mRNA":[200],"processing":[201],"representative":[205],"consistent":[208],"previously":[211],"published":[212],"results.":[213],"second":[216],"part":[217],"study,":[220],"benefits":[221],"combining":[223],"were":[231],"explored.":[232],"procedure":[236],"preprocessing":[238],"ProteinChip":[240],"data,":[241],"we":[242],"developed":[243],"proteomics-based":[245],"predictor":[246],"Our":[249]},"counts_by_year":[],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2025-10-27T00:00:00"}