{"id":"https://openalex.org/W2773723632","doi":"https://doi.org/10.1109/bibm.2017.8217731","title":"Discovering additional complex NCIt gene concepts with high error rate","display_name":"Discovering additional complex NCIt gene concepts with high error rate","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2773723632","doi":"https://doi.org/10.1109/bibm.2017.8217731","mag":"2773723632"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100758589","display_name":"Ling Zheng","orcid":"https://orcid.org/0000-0002-6709-828X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ling Zheng","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026168109","display_name":"Hua Min","orcid":"https://orcid.org/0000-0003-2422-0043"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Min","raw_affiliation_strings":["Department of Health Administration and Policy, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Health Administration and Policy, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077648725","display_name":"Yehoshua Perl","orcid":"https://orcid.org/0000-0003-1940-9386"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yehoshua Perl","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070654032","display_name":"James Geller","orcid":"https://orcid.org/0000-0002-9120-525X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Geller","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100758589"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.319,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59243943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"653","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991999864578247,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991999864578247,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9807999730110168,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.9693999886512756,"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/computer-science","display_name":"Computer science","score":0.6262507438659668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262507438659668}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8217731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W46109541","https://openalex.org/W1866119307","https://openalex.org/W1972390403","https://openalex.org/W2008857142","https://openalex.org/W2078161054","https://openalex.org/W2106537457","https://openalex.org/W2301638505","https://openalex.org/W2396971085","https://openalex.org/W2470579970","https://openalex.org/W2592369982","https://openalex.org/W6639220378","https://openalex.org/W6712083936"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0,107],"Gene":[1],"hierarchy":[2],"of":[3,12,41,100,109,142],"the":[4,39,58,83,110,139],"National":[5],"Cancer":[6],"Institute":[7],"(NCI)":[8],"Thesaurus":[9],"(NCIt)":[10],"is":[11,18],"high":[13],"priority":[14],"for":[15,134],"NCI.":[16],"It":[17],"important":[19],"to":[20,26,47,54,102,123,137],"have":[21,48,74,124],"quality":[22,141],"assurance":[23],"(QA)":[24],"techniques":[25],"improve":[27,138],"its":[28],"content":[29],"quality.":[30],"We":[31],"present":[32],"a":[33,49,69,75,93,98],"two-step":[34],"methodology":[35],"concentrating":[36],"on":[37,92],"auditing":[38],"modeling":[40,140],"complex":[42,67,105],"concepts,":[43],"which":[44],"are":[45,117],"shown":[46],"higher":[50,76],"error":[51,77],"rate":[52,78],"compared":[53],"control":[55,80,128],"concepts.":[56,81,106,129],"In":[57,82],"first":[59],"step,":[60,85],"we":[61,86],"test":[62],"whether":[63],"concepts":[64,116,144],"that":[65,114],"appear":[66],"in":[68,145],"so":[70],"called":[71],"\u201cpartial-area":[72,94],"taxonomy\u201d":[73],"than":[79,127],"second":[84],"introduce":[87],"an":[88],"innovative":[89],"technique":[90],"based":[91],"sub-taxonomy\u201d":[95],"(constructed":[96],"with":[97],"subset":[99],"roles)":[101],"discover":[103],"additional":[104],"results":[108],"QA":[111],"study":[112],"show":[113],"these":[115],"indeed":[118],"statistically":[119],"significantly":[120],"more":[121,125],"likely":[122],"errors":[126],"This":[130],"makes":[131],"it":[132],"easier":[133],"NCI":[135],"staff":[136],"gene":[143],"NCIt.":[146]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}