{"id":"https://openalex.org/W2780009270","doi":"https://doi.org/10.1145/3155077.3155078","title":"Individual Drug Treatment Prediction in Oncology Based on Machine Learning Using Cell Culture Gene Expression Data","display_name":"Individual Drug Treatment Prediction in Oncology Based on Machine Learning Using Cell Culture Gene Expression Data","publication_year":2017,"publication_date":"2017-10-18","ids":{"openalex":"https://openalex.org/W2780009270","doi":"https://doi.org/10.1145/3155077.3155078","mag":"2780009270"},"language":"en","primary_location":{"id":"doi:10.1145/3155077.3155078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3155077.3155078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062609945","display_name":"Nikolay Borisov","orcid":"https://orcid.org/0000-0002-1671-5524"},"institutions":[{"id":"https://openalex.org/I2800235667","display_name":"Kurchatov Institute","ror":"https://ror.org/00n1nz186","country_code":"RU","type":"facility","lineage":["https://openalex.org/I2800235667"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay Borisov","raw_affiliation_strings":["National Research Centre, \"Kurchatov Institute\", Kurchatova Sq., Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Centre, \"Kurchatov Institute\", Kurchatova Sq., Moscow, Russia","institution_ids":["https://openalex.org/I2800235667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030144117","display_name":"Victor Tkachev","orcid":"https://orcid.org/0000-0002-8733-2205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Victor Tkachev","raw_affiliation_strings":["OmicsWay Corp., Yermolaevsky lane, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OmicsWay Corp., Yermolaevsky lane, Moscow, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067035670","display_name":"Ilya Muchnik","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilya Muchnik","raw_affiliation_strings":["Rutgers University, Hill Center, Busch Campus, Piscataway, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Hill Center, Busch Campus, Piscataway, NJ","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008472454","display_name":"Anton Buzdin","orcid":"https://orcid.org/0000-0001-9866-3424"},"institutions":[{"id":"https://openalex.org/I2800235667","display_name":"Kurchatov Institute","ror":"https://ror.org/00n1nz186","country_code":"RU","type":"facility","lineage":["https://openalex.org/I2800235667"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anton Buzdin","raw_affiliation_strings":["National Research Centre, \"Kurchatov Institute\", Kurchatova Sq., Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Centre, \"Kurchatov Institute\", Kurchatova Sq., Moscow, Russia","institution_ids":["https://openalex.org/I2800235667"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9969000220298767,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9969000220298767,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9714000225067139,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5950362682342529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5808055996894836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625219941139221},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.524779736995697},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5080080032348633},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.48287084698677063},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4713458716869354},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4593818783760071},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45288729667663574},{"id":"https://openalex.org/keywords/anticancer-drug","display_name":"Anticancer drug","score":0.43935197591781616},{"id":"https://openalex.org/keywords/drug-development","display_name":"Drug development","score":0.43167543411254883},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42912328243255615},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.4151787757873535},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3294225037097931},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.31301870942115784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2791300415992737},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26108527183532715},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18977698683738708},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.14532452821731567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1382281482219696}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5950362682342529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5808055996894836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625219941139221},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.524779736995697},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5080080032348633},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.48287084698677063},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4713458716869354},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4593818783760071},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45288729667663574},{"id":"https://openalex.org/C3018146709","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Anticancer drug","level":3,"score":0.43935197591781616},{"id":"https://openalex.org/C64903051","wikidata":"https://www.wikidata.org/wiki/Q2198549","display_name":"Drug development","level":3,"score":0.43167543411254883},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42912328243255615},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.4151787757873535},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3294225037097931},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.31301870942115784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2791300415992737},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26108527183532715},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18977698683738708},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.14532452821731567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1382281482219696},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3155077.3155078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3155077.3155078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1658064490","https://openalex.org/W1761010383","https://openalex.org/W1883695122","https://openalex.org/W1927205409","https://openalex.org/W1985258161","https://openalex.org/W2064816673","https://openalex.org/W2086789740","https://openalex.org/W2101646342","https://openalex.org/W2103082150","https://openalex.org/W2108068107","https://openalex.org/W2111547563","https://openalex.org/W2113584252","https://openalex.org/W2120865735","https://openalex.org/W2122327814","https://openalex.org/W2133729862","https://openalex.org/W2134787419","https://openalex.org/W2138855712","https://openalex.org/W2142742274","https://openalex.org/W2149107469","https://openalex.org/W2153635508","https://openalex.org/W2156498386","https://openalex.org/W2168113705","https://openalex.org/W2171504422","https://openalex.org/W2340839320","https://openalex.org/W2417131376","https://openalex.org/W2482204222"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W4251759641"],"abstract_inverted_index":{"Development":[0],"of":[1,4,25,59,62,85,111,150],"individual":[2,151],"predictors":[3],"clinical":[5,63],"drug":[6,106,126],"efficiency":[7],"becomes":[8],"the":[9,37,42,82,101,117,134,148],"mainstream":[10],"in":[11,47,104],"modern":[12],"oncology.":[13],"According":[14],"to":[15,35,124,142,146],"this":[16,48,129],"approach,":[17,75],"for":[18,70,88],"a":[19,28,60],"given":[20],"patient":[21],"with":[22],"known":[23],"type":[24],"cancer":[26],"and":[27],"chosen":[29],"drug,":[30],"we":[31,131],"should":[32],"be":[33,139],"able":[34],"estimate":[36],"treatment":[38],"effect":[39],"caused":[40],"by":[41,66,116],"drug.":[43],"Almost":[44],"all":[45],"works":[46],"field":[49],"apply":[50],"machine":[51,143],"learning":[52,144],"techniques,":[53],"which":[54,121],"perform":[55],"deep":[56],"statistical":[57],"analysis":[58,89,145],"set":[61,84],"cases":[64,86],"supported":[65,115],"gene":[67,118],"expression":[68,119],"data":[69,137],"every":[71],"patient.":[72],"This":[73],"important":[74],"unfortunately,":[76],"suffers":[77],"from":[78],"an":[79],"essential":[80],"obstacle:":[81],"total":[83],"available":[87],"is":[90],"very":[91,96],"limited":[92],"(usually":[93],"several":[94,98],"tens,":[95],"seldom":[97],"hundreds).":[99],"On":[100],"other":[102],"hand,":[103],"biotech":[105],"industry,":[107],"there":[108],"are":[109,122],"thousands":[110],"cell":[112,135],"line":[113],"cultures,":[114],"data,":[120],"analyzed":[123],"measure":[125],"scoring.":[127],"In":[128],"paper,":[130],"show":[132],"how":[133],"lines":[136],"can":[138],"incorporated":[140],"into":[141],"improve":[147],"development":[149],"predictors.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}