{"id":"https://openalex.org/W2086573745","doi":"https://doi.org/10.1109/dmo.2012.6329800","title":"ABC algorithm as feature selection for biomarker discovery in mass spectrometry analysis","display_name":"ABC algorithm as feature selection for biomarker discovery in mass spectrometry analysis","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2086573745","doi":"https://doi.org/10.1109/dmo.2012.6329800","mag":"2086573745"},"language":"en","primary_location":{"id":"doi:10.1109/dmo.2012.6329800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2012.6329800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Conference on Data Mining and Optimization (DMO)","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/A5011273582","display_name":"M. Y. SyarifahAdilah","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"M. Y. SyarifahAdilah","raw_affiliation_strings":["Universiti Teknologi MARA, Shah Alam, Selangor, MY"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Shah Alam, Selangor, MY","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051571958","display_name":"Rosni Abdullah","orcid":"https://orcid.org/0000-0002-3061-5837"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Rosni Abdullah","raw_affiliation_strings":["School of Computer Sciences Universiti of Sciences Malaysia, Penang, Malaysia","School of Computer Sciences, University of Sciences Malaysia, Penang, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Computer Sciences Universiti of Sciences Malaysia, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"School of Computer Sciences, University of Sciences Malaysia, Penang, Malaysia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073649243","display_name":"Ibrahim Venkat","orcid":"https://orcid.org/0000-0001-9597-8535"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ibrahim Venkat","raw_affiliation_strings":["School of Computer Sciences Universiti of Sciences Malaysia, Penang, Malaysia","School of Computer Sciences, University of Sciences Malaysia, Penang, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Computer Sciences Universiti of Sciences Malaysia, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"School of Computer Sciences, University of Sciences Malaysia, Penang, Malaysia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011273582"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.5253,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65196277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9994999766349792,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9994999766349792,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.989300012588501,"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/feature-selection","display_name":"Feature selection","score":0.6894651055335999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6512861847877502},{"id":"https://openalex.org/keywords/mass-spectrometry","display_name":"Mass spectrometry","score":0.5925256609916687},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5867753624916077},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.5638395547866821},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5552133917808533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4838653802871704},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.4587145149707794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4187454283237457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4154796004295349},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4007754921913147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35140520334243774},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1731281578540802},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.10315105319023132}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6894651055335999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512861847877502},{"id":"https://openalex.org/C162356407","wikidata":"https://www.wikidata.org/wiki/Q180809","display_name":"Mass spectrometry","level":2,"score":0.5925256609916687},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5867753624916077},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.5638395547866821},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5552133917808533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4838653802871704},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.4587145149707794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4187454283237457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4154796004295349},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4007754921913147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35140520334243774},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1731281578540802},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.10315105319023132},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dmo.2012.6329800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2012.6329800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Conference on Data Mining and Optimization (DMO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322780","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W21791108","https://openalex.org/W1549296080","https://openalex.org/W1570713908","https://openalex.org/W1777175209","https://openalex.org/W1819658147","https://openalex.org/W1963962412","https://openalex.org/W1968682850","https://openalex.org/W2003584395","https://openalex.org/W2026442857","https://openalex.org/W2047719782","https://openalex.org/W2074870400","https://openalex.org/W2083955084","https://openalex.org/W2098477891","https://openalex.org/W2104653669","https://openalex.org/W2109332572","https://openalex.org/W2113334864","https://openalex.org/W2119479037","https://openalex.org/W2119504332","https://openalex.org/W2123989476","https://openalex.org/W2129321896","https://openalex.org/W2134389439","https://openalex.org/W2152370552","https://openalex.org/W2161114097","https://openalex.org/W2287814884","https://openalex.org/W4252371689","https://openalex.org/W4285719527","https://openalex.org/W6682562581"],"related_works":["https://openalex.org/W2943300910","https://openalex.org/W1539981706","https://openalex.org/W1485011350","https://openalex.org/W2031369865","https://openalex.org/W1969295409","https://openalex.org/W2010715465","https://openalex.org/W2558197048","https://openalex.org/W3150792906","https://openalex.org/W1999883774","https://openalex.org/W2062711653"],"abstract_inverted_index":{"Mass":[0],"spectrometry":[1,38,76],"technique":[2,114],"is":[3],"gradually":[4],"gaining":[5],"momentum":[6],"among":[7],"the":[8,59,102],"recent":[9],"techniques":[10,43],"deployed":[11],"by":[12,45,50],"several":[13],"analytical":[14],"research":[15],"labs":[16],"which":[17],"intends":[18],"to":[19,73,80],"study":[20,100],"biological":[21,51],"or":[22],"chemical":[23],"properties":[24],"of":[25,61,104],"complex":[26,96],"structures":[27],"such":[28],"as":[29,109],"protein":[30,93,97],"sequences.":[31,98],"Literature":[32],"reveals":[33,101],"that":[34,84],"reasoning":[35],"voluminous":[36],"mass":[37,75],"data":[39,77],"via":[40],"sophisticated":[41],"computational":[42],"inspired":[44],"observing":[46],"natural":[47],"processes":[48],"adapted":[49],"life":[52],"has":[53],"been":[54],"yielding":[55],"fruitful":[56],"results":[57],"towards":[58],"advancement":[60],"fields":[62],"including":[63],"bioinformatics":[64],"and":[65,122,126,132],"proteomics.":[66],"Such":[67],"advanced":[68],"approaches":[69],"provide":[70],"efficient":[71],"ways":[72],"mine":[74],"in":[78,86,95,129],"order":[79],"extract":[81],"discriminating":[82,130],"features":[83],"aid":[85],"discovering":[87,91],"vital":[88],"information,":[89],"specifically":[90],"disease-related":[92],"patterns":[94],"This":[99],"use":[103],"artificial":[105],"bee":[106],"colony":[107],"(ABC)":[108],"a":[110],"new":[111],"feature":[112],"selection":[113],"incorporated":[115],"with":[116],"SVM":[117],"classifier.":[118],"Results":[119],"achieved":[120],"96":[121],"100%":[123],"for":[124],"sensitivity":[125],"specificity":[127],"respectively":[128],"cirrhosis":[131],"liver":[133],"cancer":[134],"cases.":[135]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
