{"id":"https://openalex.org/W4403487721","doi":"https://doi.org/10.3233/faia240669","title":"DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network","display_name":"DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487721","doi":"https://doi.org/10.3233/faia240669"},"language":"en","primary_location":{"id":"doi:10.3233/faia240669","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240669","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia240669","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100992535","display_name":"Seungyeon Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungyeon Choi","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Samgmin Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Samgmin Seo","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064308519","display_name":"Jonghwan Choi","orcid":"https://orcid.org/0000-0002-8429-4135"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jonghwan Choi","raw_affiliation_strings":["Division of Software, Hallym University, Chuncheon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Software, Hallym University, Chuncheon, Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088147849","display_name":"Chihyun Park","orcid":"https://orcid.org/0000-0003-4995-2312"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chihyun Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322270","display_name":"Sanghyun Park","orcid":"https://orcid.org/0000-0002-5196-6193"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyun Park","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49642857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9516000151634216,"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/diffusion","display_name":"Diffusion","score":0.47782209515571594},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46340322494506836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42493999004364014},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.362326443195343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2248079478740692},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18307745456695557},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.10819631814956665}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.47782209515571594},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46340322494506836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42493999004364014},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.362326443195343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2248079478740692},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18307745456695557},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.10819631814956665}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240669","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240669","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240669","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240669","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2016187641","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W4390401159"],"abstract_inverted_index":{"The":[0,24,46,133],"accurate":[1],"prediction":[2,67,71,108,131,148],"of":[3,11,21,26,48,61,162,173,179,182,191,200,206,209],"drug":[4,106,129,146],"responses":[5],"based":[6,30,119,128],"on":[7,31],"the":[8,19,38,84,89,96,142,150,155,158,171,180,183,188,198,207,210],"genomic":[9],"profile":[10],"a":[12,105,113,124,137],"patient":[13],"is":[14,37,80],"essential":[15],"to":[16,86],"progress":[17],"in":[18,43,66,154,186,213],"field":[20],"precision":[22],"medicine.":[23],"advent":[25],"various":[27],"deep-learning":[28],"algorithms":[29],"publicly":[32],"available":[33],"large-scale":[34],"omics":[35,192],"datasets":[36],"driving":[39],"force":[40],"behind":[41],"research":[42],"this":[44],"field.":[45],"characteristics":[47],"biological":[49,74],"datasets,":[50],"characterized":[51],"by":[52,83],"high":[53],"dimensions":[54],"and":[55,63],"low":[56],"sample":[57],"sizes,":[58],"pose":[59],"challenges":[60],"overfitting":[62],"limited":[64],"generalization":[65,160],"models.":[68,167],"Additionally,":[69],"constructing":[70],"models":[72,144],"using":[73],"data":[75,120],"such":[76],"as":[77],"gene":[78,215],"expression":[79,216],"further":[81],"complicated":[82],"need":[85],"account":[87],"for":[88,145,149],"complex":[90],"relationships":[91],"among":[92],"genes,":[93],"which":[94,176,203],"exacerbates":[95],"aforementioned":[97],"challenges.":[98],"To":[99],"address":[100],"these":[101],"challenges,":[102],"we":[103,169],"propose":[104],"response":[107,130,147],"framework":[109],"(DrDiff)":[110],"that":[111],"integrates":[112],"denoising":[114],"diffusion":[115],"probabilistic":[116],"model":[117,135],"(DDPM)":[118],"augmentation":[121],"module":[122],"with":[123],"graph":[125],"attention":[126],"network":[127],"module.":[132],"proposed":[134,184,211],"showed":[136],"10%":[138],"higher":[139],"AUC":[140],"than":[141],"state-of-the-art":[143],"six":[151],"drugs":[152],"considered":[153],"study,":[156],"suggesting":[157],"superior":[159],"performance":[161],"DrDiff":[163],"over":[164],"other":[165],"baseline":[166],"Furthermore,":[168],"demonstrated":[170],"feasibility":[172,199],"generative":[174,201],"models,":[175,202],"form":[177,204],"one":[178,205],"modules":[181,208],"framework,":[185,212],"overcoming":[187],"fundamental":[189],"limitations":[190],"datasets.":[193],"Further":[194],"experiments":[195],"bear":[196],"out":[197],"augmenting":[214],"data.":[217]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}