{"id":"https://openalex.org/W4405427430","doi":"https://doi.org/10.1145/3698587.3701430","title":"Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction","display_name":"Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4405427430","doi":"https://doi.org/10.1145/3698587.3701430"},"language":"en","primary_location":{"id":"doi:10.1145/3698587.3701430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3698587.3701430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","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/A5113211020","display_name":"Shuang Ge","orcid":"https://orcid.org/0009-0003-3103-0157"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Ge","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University Shenzhen, China, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University Shenzhen, China, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073013548","display_name":"Shuqing Sun","orcid":"https://orcid.org/0000-0001-7906-2885"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqing Sun","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083302535","display_name":"Huan Xu","orcid":"https://orcid.org/0000-0002-9009-3786"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Xu","raw_affiliation_strings":["Anhui University of Science and Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070028902","display_name":"Zhixiang Ren","orcid":"https://orcid.org/0000-0002-4104-3790"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiang Ren","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113211020"],"corresponding_institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3554,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6695355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9984999895095825,"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":0.9984999895095825,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9940000176429749,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9937000274658203,"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":0.6767842769622803},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5979846119880676},{"id":"https://openalex.org/keywords/drug-response","display_name":"Drug response","score":0.525510311126709},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.5230739712715149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34203672409057617},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13011357188224792},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.09668657183647156},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07998695969581604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767842769622803},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5979846119880676},{"id":"https://openalex.org/C2994119904","wikidata":"https://www.wikidata.org/wiki/Q1251001","display_name":"Drug response","level":3,"score":0.525510311126709},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5230739712715149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34203672409057617},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13011357188224792},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.09668657183647156},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07998695969581604},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3698587.3701430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3698587.3701430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G2651199057","display_name":null,"funder_award_id":"PCL2021A13/004","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2108068107","https://openalex.org/W2128542677","https://openalex.org/W2955502047"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W1997438133","https://openalex.org/W2321880618"],"abstract_inverted_index":{"In":[0],"clinical":[1,135],"practice,":[2],"the":[3,27,38,118,139],"accurate":[4],"assessment":[5],"of":[6,29,33,63,75,113,122,141],"patient":[7,64],"response":[8],"to":[9,40,46,127],"drugs":[10],"is":[11],"crucial":[12],"for":[13,57],"personalized":[14],"treatment.":[15],"Research":[16],"has":[17,70],"demonstrated":[18],"that":[19,101,116],"alterations":[20],"in":[21,76],"genomic":[22,82,106,129],"profiles":[23],"can":[24,108],"significantly":[25],"influence":[26],"efficacy":[28],"cancer":[30,34,67],"therapies.":[31],"Studies":[32],"drug":[35,50,65,123],"sensitivity":[36],"have":[37,99],"potential":[39],"predict":[41],"heterogeneous":[42],"cell":[43,79],"line":[44],"responses":[45],"various":[47],"drugs,":[48],"facilitate":[49],"screening":[51],"processes,":[52],"and":[53,94],"identify":[54],"new":[55],"biomarkers":[56],"sensitive":[58],"populations[3].":[59],"Unlike":[60],"traditional":[61],"documentation":[62],"responses,":[66],"pharmacogenomics":[68],"research":[69],"established":[71],"a":[72,110],"comprehensive":[73],"database":[74],"vitro":[77],"cultured":[78],"lines,":[80],"encompassing":[81],"data":[83,130],"across":[84],"multiple":[85],"modalities,":[86],"including":[87],"gene":[88],"expression,":[89],"mutation,":[90],"copy":[91],"number":[92],"variation,":[93],"methylation":[95],"patterns[1].":[96],"Recent":[97],"investigations":[98],"confirmed":[100],"incorporating":[102],"information":[103],"from":[104],"diverse":[105],"modalities":[107],"yield":[109],"wide":[111],"range":[112],"biological":[114],"insights":[115],"enhance":[117],"predictive":[119],"modeling":[120],"capabilities":[121],"responses[2].":[124],"However,":[125],"access":[126],"paired":[128],"remains":[131],"challenging":[132],"within":[133],"practical":[134],"settings,":[136],"which":[137],"limits":[138],"application":[140],"high-performance":[142],"multi-modal":[143],"models.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
