{"id":"https://openalex.org/W2775060715","doi":"https://doi.org/10.1145/3156346.3156355","title":"Extraction of disease-related genes from PubMed paper using word2vec","display_name":"Extraction of disease-related genes from PubMed paper using word2vec","publication_year":2017,"publication_date":"2017-12-07","ids":{"openalex":"https://openalex.org/W2775060715","doi":"https://doi.org/10.1145/3156346.3156355","mag":"2775060715"},"language":"en","primary_location":{"id":"doi:10.1145/3156346.3156355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3156346.3156355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics","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/A5021167199","display_name":"Takahiro Koiwa","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takahiro Koiwa","raw_affiliation_strings":["Tokyo University of Science, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004082634","display_name":"Hayato Ohwada","orcid":"https://orcid.org/0000-0001-5621-6984"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Ohwada","raw_affiliation_strings":["Tokyo University of Science, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021167199"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.4253,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62667626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9986000061035156,"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":0.9986000061035156,"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7993343472480774},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6101561188697815},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5916504263877869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41319501399993896},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.39560291171073914},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.32480737566947937},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.31395378708839417},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2828342914581299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25986066460609436},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15356042981147766},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.058819860219955444}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7993343472480774},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6101561188697815},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5916504263877869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41319501399993896},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.39560291171073914},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.32480737566947937},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.31395378708839417},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2828342914581299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25986066460609436},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15356042981147766},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.058819860219955444},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3156346.3156355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3156346.3156355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics","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":5,"referenced_works":["https://openalex.org/W2131571251","https://openalex.org/W2251235442","https://openalex.org/W2515248967","https://openalex.org/W2604272474","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W2111650087","https://openalex.org/W1143447605","https://openalex.org/W1995085194"],"abstract_inverted_index":{"Finding":[0],"disease-related":[1,74,114,121,134,148],"genes":[2,9,75,93,97,110,115,149,195,198],"is":[3,28,40,59,82],"important":[4],"in":[5,12,151],"drug":[6],"discovery.":[7],"Many":[8],"are":[10,100,116],"involved":[11],"the":[13,90,130,159,178,188],"disease,":[14],"and":[15,21,98,118,128,176],"many":[16],"studies":[17],"have":[18],"been":[19],"conducted":[20,124],"reported":[22],"for":[23],"each":[24],"disease.":[25],"However,":[26],"it":[27,58],"very":[29],"costly":[30],"to":[31,44,61,72,102,200],"check":[32],"these":[33,166],"one":[34],"by":[35,55,105,202],"one.":[36],"Therefore,":[37,191],"machine":[38],"learning":[39],"a":[41,83,171],"suitable":[42],"method":[43,88],"address":[45],"this":[46,68,133,152],"problem.":[47],"By":[48],"extracting":[49],"study":[50],"results":[51],"from":[52,76],"research":[53],"papers":[54,78],"text":[56,84],"mining,":[57],"possible":[60],"make":[62],"use":[63],"of":[64,132,162],"that":[65,184],"knowledge.":[66],"In":[67],"research,":[69],"we":[70,169,192],"aim":[71],"extract":[73,194],"PubMed":[77],"using":[79,126,136,197],"word2vec,":[80],"which":[81],"mining":[85],"method.":[86,204],"The":[87,181],"extracts":[89],"top":[91],"10":[92],"whose":[94],"known":[95,113,141],"disease":[96,201],"vectors":[99],"close":[101],"those":[103],"obtained":[104],"word2vec.":[106],"Based":[107],"on":[108],"these,":[109],"other":[111],"than":[112],"extracted":[117,150],"used":[119],"as":[120],"genes.":[122,142,164],"We":[123],"experiments":[125],"schizophrenia,":[127],"confirmed":[129],"likelihood":[131],"gene":[135],"xgboost.":[137],"Pattern":[138,143,145,154,156,185],"1:":[139],"Only":[140],"2:":[144],"1":[146,157],"plus":[147,158],"study.":[153],"3:":[155],"same":[160],"number":[161],"random":[163],"Using":[165],"three":[167],"patterns,":[168],"performed":[170],"xgboost":[172],"with":[173,196],"microarray":[174],"data":[175],"compared":[177],"classification":[179],"accuracy.":[180,190],"result":[182],"was":[183],"2":[186],"had":[187],"highest":[189],"could":[193],"related":[199],"our":[203]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}