{"id":"https://openalex.org/W2088774469","doi":"https://doi.org/10.1109/bibmw.2011.6112449","title":"Genomic profiling by machine learning","display_name":"Genomic profiling by machine learning","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2088774469","doi":"https://doi.org/10.1109/bibmw.2011.6112449","mag":"2088774469"},"language":"en","primary_location":{"id":"doi:10.1109/bibmw.2011.6112449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2011.6112449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","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/A5100389483","display_name":"Zhiping Zhang","orcid":"https://orcid.org/0000-0001-9975-4862"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiping Zhang","raw_affiliation_strings":["Tongji School of Pharmacy, Huazhong University of Science and Technology, China","Tongji School of Pharmacy, Huazhong University of Science and Technology, P.R. China"],"affiliations":[{"raw_affiliation_string":"Tongji School of Pharmacy, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Tongji School of Pharmacy, Huazhong University of Science and Technology, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017261731","display_name":"Honghuang Lin","orcid":"https://orcid.org/0000-0003-3043-3942"},"institutions":[{"id":"https://openalex.org/I4210153792","display_name":"University School","ror":"https://ror.org/05ap66461","country_code":"US","type":"education","lineage":["https://openalex.org/I4210153792"]},{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Honghuang Lin","raw_affiliation_strings":["Department of Medicine, School of Medicine, Boston University, USA","Dept of Medicine, Boston University School of Medicine, USA"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, School of Medicine, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Dept of Medicine, Boston University School of Medicine, USA","institution_ids":["https://openalex.org/I111088046","https://openalex.org/I4210153792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100389483"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12602547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"240","issue":null,"first_page":"662","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9975000023841858,"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/T11642","display_name":"Genomics and Rare Diseases","score":0.9968000054359436,"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/genome-wide-association-study","display_name":"Genome-wide association study","score":0.747150182723999},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5941286683082581},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5623318552970886},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.5533794164657593},{"id":"https://openalex.org/keywords/genetic-association","display_name":"Genetic association","score":0.4558507204055786},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.43666499853134155},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4210672974586487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38056695461273193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3680988550186157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36332035064697266},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2954399287700653},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.23024263978004456},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16299110651016235},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12516528367996216},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08878788352012634}],"concepts":[{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.747150182723999},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5941286683082581},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5623318552970886},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.5533794164657593},{"id":"https://openalex.org/C186413461","wikidata":"https://www.wikidata.org/wiki/Q744727","display_name":"Genetic association","level":5,"score":0.4558507204055786},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.43666499853134155},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4210672974586487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38056695461273193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3680988550186157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36332035064697266},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2954399287700653},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.23024263978004456},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16299110651016235},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12516528367996216},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08878788352012634},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibmw.2011.6112449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2011.6112449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","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":35,"referenced_works":["https://openalex.org/W1727204486","https://openalex.org/W1968893448","https://openalex.org/W1973948212","https://openalex.org/W1980175560","https://openalex.org/W1980991473","https://openalex.org/W1990748933","https://openalex.org/W1994050986","https://openalex.org/W2004156733","https://openalex.org/W2042308063","https://openalex.org/W2065604182","https://openalex.org/W2071947153","https://openalex.org/W2074885541","https://openalex.org/W2076099034","https://openalex.org/W2096807144","https://openalex.org/W2104690544","https://openalex.org/W2115095782","https://openalex.org/W2117446594","https://openalex.org/W2119479037","https://openalex.org/W2121514846","https://openalex.org/W2124191974","https://openalex.org/W2129612249","https://openalex.org/W2130383679","https://openalex.org/W2130740469","https://openalex.org/W2132039887","https://openalex.org/W2139212933","https://openalex.org/W2139822721","https://openalex.org/W2143426320","https://openalex.org/W2148603752","https://openalex.org/W2155283735","https://openalex.org/W2160160618","https://openalex.org/W2165884492","https://openalex.org/W2171777347","https://openalex.org/W2885727518","https://openalex.org/W4285719527","https://openalex.org/W4298222310"],"related_works":["https://openalex.org/W4283582241","https://openalex.org/W2594299395","https://openalex.org/W2066467839","https://openalex.org/W2111842731","https://openalex.org/W2170506381","https://openalex.org/W2765794416","https://openalex.org/W2039666944","https://openalex.org/W1531630856","https://openalex.org/W1486217206","https://openalex.org/W1992310781"],"abstract_inverted_index":{"Genome-wide":[0],"association":[1],"studies":[2],"(GWAS)":[3],"have":[4,97],"identified":[5,112],"a":[6,45,81],"number":[7],"of":[8,17,25,33,48,51,78,92],"genetic":[9],"mutations":[10],"associated":[11],"with":[12,89,126],"various":[13],"diseases.":[14],"The":[15,101],"inclusion":[16],"SNPs":[18,88],"from":[19],"GWAS":[20],"has":[21],"shown":[22],"some":[23],"benefits":[24],"improving":[26],"traditional":[27],"risk":[28],"prediction.":[29],"However,":[30],"the":[31,49,61,69,76,123],"contribution":[32],"genomic":[34,52,116],"profiling":[35,53],"to":[36,74,98,110,113,121,133],"disease":[37,70],"classification":[38,124],"is":[39,119],"unclear":[40],"yet.":[41],"Here":[42],"we":[43],"present":[44],"systematic":[46],"analysis":[47],"effects":[50],"by":[54],"machine":[55],"learning.":[56],"Our":[57],"study":[58],"suggests":[59],"that":[60,104],"odds":[62],"ratio":[63],"plays":[64],"an":[65],"essential":[66],"role":[67],"in":[68,80],"classification.":[71],"In":[72],"order":[73],"explain":[75],"majority":[77],"variations":[79],"typical":[82],"case/control":[83],"study,":[84],"at":[85],"least":[86],"100":[87],"effect":[90],"size":[91],"1.5":[93],"and":[94,130],"20%":[95],"frequency":[96],"be":[99,111],"included.":[100],"result":[102],"indicates":[103],"more":[105,131],"disease-related":[106],"variants":[107],"are":[108],"yet":[109],"obtain":[114],"meaningful":[115],"profiling.":[117],"SVM":[118],"capable":[120],"recognize":[122],"pattern":[125],"relatively":[127],"less":[128],"samples":[129],"resistant":[132],"noises.":[134]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}