{"id":"https://openalex.org/W2006868936","doi":"https://doi.org/10.1109/tcbb.2014.2338292","title":"Rapid Assessment of Adverse Drug Reactions by Statistical Solution of Gene Association Network","display_name":"Rapid Assessment of Adverse Drug Reactions by Statistical Solution of Gene Association Network","publication_year":2014,"publication_date":"2014-07-22","ids":{"openalex":"https://openalex.org/W2006868936","doi":"https://doi.org/10.1109/tcbb.2014.2338292","mag":"2006868936","pmid":"https://pubmed.ncbi.nlm.nih.gov/26357325"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2014.2338292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2338292","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100666562","display_name":"Yanping Xiang","orcid":"https://orcid.org/0000-0002-9477-284X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Ping Xiang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349832","display_name":"Ke Liu","orcid":"https://orcid.org/0000-0001-6698-0353"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liu","raw_affiliation_strings":["Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036590118","display_name":"Xianying Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Ying Cheng","raw_affiliation_strings":["Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349402","display_name":"Cheng Cheng","orcid":"https://orcid.org/0000-0002-3726-657X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Cheng","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071381254","display_name":"Fang Gong","orcid":"https://orcid.org/0000-0002-8035-7645"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Gong","raw_affiliation_strings":["Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045047208","display_name":"Jianbo Pan","orcid":"https://orcid.org/0000-0001-6014-8160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Bo Pan","raw_affiliation_strings":["Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011934562","display_name":"Zhi\u2010Liang Ji","orcid":"https://orcid.org/0000-0003-1190-7655"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Liang Ji","raw_affiliation_strings":["Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.7068,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.71262465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"12","issue":"4","first_page":"844","last_page":"850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.6617198586463928},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6104733943939209},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5843191146850586},{"id":"https://openalex.org/keywords/adverse-drug-reaction","display_name":"Adverse drug reaction","score":0.5679967403411865},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5230653882026672},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4572358727455139},{"id":"https://openalex.org/keywords/adverse-effect","display_name":"Adverse effect","score":0.4195183515548706},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4166862964630127},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.4037126302719116},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.37271010875701904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35950422286987305},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.34086155891418457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31970250606536865},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20267826318740845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16779997944831848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14912626147270203}],"concepts":[{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.6617198586463928},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6104733943939209},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5843191146850586},{"id":"https://openalex.org/C2780542314","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Adverse drug reaction","level":3,"score":0.5679967403411865},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5230653882026672},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4572358727455139},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.4195183515548706},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4166862964630127},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.4037126302719116},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.37271010875701904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35950422286987305},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.34086155891418457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31970250606536865},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20267826318740845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16779997944831848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14912626147270203}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000187","qualifier_name":"drug effects","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000187","qualifier_name":"drug effects","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000187","qualifier_name":"drug effects","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2014.2338292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2338292","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26357325","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26357325","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1490856870","display_name":null,"funder_award_id":"NSFC#31271405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2041566588","display_name":null,"funder_award_id":"NSFC#30873159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325434","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785"},{"id":"https://openalex.org/F4320332167","display_name":"Directorate for Biological Sciences","ror":"https://ror.org/001xhss06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1972629572","https://openalex.org/W1979947684","https://openalex.org/W1990744218","https://openalex.org/W2031133736","https://openalex.org/W2035837996","https://openalex.org/W2039656193","https://openalex.org/W2040135138","https://openalex.org/W2085752173","https://openalex.org/W2106907365","https://openalex.org/W2124001239","https://openalex.org/W2127553917","https://openalex.org/W2136127280","https://openalex.org/W2142572836","https://openalex.org/W2147720104","https://openalex.org/W2161723120","https://openalex.org/W2328930443","https://openalex.org/W2406984876","https://openalex.org/W4301655843","https://openalex.org/W6681966803"],"related_works":["https://openalex.org/W2376885761","https://openalex.org/W2995438986","https://openalex.org/W2398395680","https://openalex.org/W2365386954","https://openalex.org/W2377282230","https://openalex.org/W2348194333","https://openalex.org/W2352744048","https://openalex.org/W2370505849","https://openalex.org/W2347501567","https://openalex.org/W3030394802"],"abstract_inverted_index":{"Adverse":[0],"drug":[1,32,49,53],"reaction":[2],"(ADR)":[3],"is":[4,19,154],"a":[5,73,92,138],"common":[6],"clinical":[7,46,82],"problem,":[8],"sometimes":[9],"accompanying":[10],"with":[11,84],"high":[12],"risk":[13],"of":[14,22,36,48,62,81,114,124,145],"mortality":[15],"and":[16,39,105,116,132,147,183],"morbidity.":[17],"It":[18,153],"also":[20],"one":[21],"the":[23,58,142,161,169],"major":[24],"factors":[25],"that":[26,156,168],"lead":[27],"to":[28,44,57],"failure":[29],"in":[30,51,68,122,127,186],"new":[31],"development.":[33],"Unfortunately,":[34],"most":[35],"current":[37],"experimental":[38],"computational":[40],"methods":[41],"are":[42],"unable":[43],"evaluate":[45],"safety":[47],"candidates":[50],"early":[52],"discovery":[54],"stage":[55],"due":[56],"very":[59],"limited":[60],"knowledge":[61],"molecular":[63],"mechanisms":[64],"underlying":[65],"ADRs.":[66],"Therefore,":[67],"this":[69],"study,":[70],"we":[71],"proposed":[72],"novel":[74],"na\u20ac\u0131ve":[75],"Bayesian":[76,171],"model":[77,88,172],"for":[78],"rapid":[79,187],"assessment":[80],"ADRs":[83,126,146,188],"frequency":[85],"estimation.":[86],"This":[87],"was":[89,151],"constructed":[90],"on":[91,174],"gene-ADR":[93,175],"association":[94,176],"network,":[95],"which":[96],"covered":[97],"611":[98],"US":[99],"FDA":[100],"approved":[101],"drugs,":[102],"14,251":[103],"genes,":[104],"1,254":[106],"distinct":[107],"ADR":[108],"terms.":[109],"An":[110],"average":[111],"detection":[112],"rate":[113],"99.86":[115],"99.73":[117],"percent":[118],"were":[119],"achieved":[120],"eventually":[121],"identification":[123],"known":[125],"internal":[128],"test":[129],"data":[130],"set":[131],"external":[133],"case":[134],"analyses":[135],"respectively.":[136],"Moreover,":[137],"comparative":[139],"analysis":[140],"between":[141],"estimated":[143],"frequencies":[144,150,159],"their":[148],"observed":[149,155],"undertaken.":[152],"these":[157],"two":[158],"have":[160],"similar":[162],"distribution":[163],"trend.":[164],"These":[165],"results":[166],"suggest":[167],"na\u0131ve":[170],"based":[173],"network":[177],"can":[178],"serve":[179],"as":[180],"an":[181],"efficient":[182],"economic":[184],"tool":[185],"assessment.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
