{"id":"https://openalex.org/W2974978192","doi":"https://doi.org/10.1145/3341981.3344238","title":"Generative Adversarial Networks in Precision Oncology","display_name":"Generative Adversarial Networks in Precision Oncology","publication_year":2019,"publication_date":"2019-09-26","ids":{"openalex":"https://openalex.org/W2974978192","doi":"https://doi.org/10.1145/3341981.3344238","mag":"2974978192"},"language":"en","primary_location":{"id":"doi:10.1145/3341981.3344238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341981.3344238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval","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/A5008355834","display_name":"Leandro von Werra","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Leandro von Werra","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056389503","display_name":"Marcel Sch\u00f6ngens","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marcel Sch\u00f6ngens","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043436828","display_name":"Ece D. Gamsiz Uzun","orcid":"https://orcid.org/0000-0003-4068-7153"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ece D. Gamsiz Uzun","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014921416","display_name":"Carsten Eickhoff","orcid":"https://orcid.org/0000-0001-9895-4061"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carsten Eickhoff","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008355834"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.2296,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.50043914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10862","display_name":"AI in cancer detection","score":0.9944999814033508,"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/T11369","display_name":"Genetic factors in colorectal cancer","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951042413711548},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.5659386515617371},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5644213557243347},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5485875010490417},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5468326807022095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5209113955497742},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.473166286945343},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.447252094745636},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41002362966537476},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38096991181373596},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19073906540870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951042413711548},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.5659386515617371},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5644213557243347},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5485875010490417},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5468326807022095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5209113955497742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.473166286945343},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.447252094745636},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41002362966537476},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38096991181373596},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19073906540870667},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341981.3344238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341981.3344238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W1597379241","https://openalex.org/W2047221353","https://openalex.org/W2102140136","https://openalex.org/W2107580398","https://openalex.org/W2115536324","https://openalex.org/W2118151336","https://openalex.org/W2521492299","https://openalex.org/W2558715006","https://openalex.org/W2560359632","https://openalex.org/W2604918751","https://openalex.org/W2901183470","https://openalex.org/W2941533451","https://openalex.org/W2946950571","https://openalex.org/W3105371743","https://openalex.org/W6676058677"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2357241418","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W2001121861","https://openalex.org/W64465677","https://openalex.org/W4381956280","https://openalex.org/W1983267954"],"abstract_inverted_index":{"Precision":[0],"medicine":[1],"strives":[2],"to":[3,18,25,42,80,91,136,142],"deliver":[4],"improved":[5],"care":[6],"based":[7],"on":[8,23],"genetic":[9,85],"patient":[10,92],"information.":[11],"Towards":[12],"this":[13],"end,":[14],"it":[15],"is":[16],"crucial":[17],"find":[19],"effective":[20],"data":[21],"representations":[22],"which":[24],"perform":[26],"matching":[27],"and":[28,33,52,74,109],"inference":[29],"operations.":[30],"We":[31],"develop":[32],"evaluate":[34],"a":[35,124,134],"generative":[36],"adversarial":[37],"neural":[38],"network":[39],"(GAN)":[40],"approach":[41],"representation":[43],"learning":[44],"with":[45],"the":[46,62,106,121],"goal":[47],"of":[48,103,123,126],"patient-centric":[49],"literature":[50,107],"retrieval":[51,108],"treatment":[53,110],"recommendation":[54,111],"in":[55,114,117],"precision":[56],"oncology.":[57],"Several":[58],"large-scale":[59],"corpora":[60],"including":[61],"COSMIC":[63,67],"Cancer":[64],"Gene":[65],"Census,":[66],"Mutation":[68],"Data,":[69],"Genomic":[70],"Data":[71],"Commons":[72],"(GDC)":[73],"26M":[75],"MEDLINE":[76],"abstracts":[77],"are":[78],"used":[79],"train":[81],"GANs":[82,104],"for":[83],"synthesizing":[84],"mutation":[86],"patterns":[87],"that":[88],"likely":[89],"correspond":[90],"properties":[93],"such":[94],"as":[95],"their":[96],"demographics":[97],"or":[98],"cancer":[99],"type.":[100],"The":[101],"introduction":[102],"into":[105],"process":[112],"results":[113],"significant":[115],"improvements":[116],"performance":[118],"by":[119],"increasing":[120],"recall":[122],"range":[125],"methods":[127],"at":[128],"stable":[129],"precision.":[130],"Finally,":[131],"we":[132],"propose":[133],"method":[135],"discover":[137],"novel":[138],"gene-gene":[139],"interaction":[140],"hypotheses":[141],"guide":[143],"future":[144],"research.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}