{"id":"https://openalex.org/W7126079958","doi":"https://doi.org/10.1109/bibm66473.2025.11356032","title":"MIXA-DRP: Multi-modal Integration with Cross-Attention for Anticancer Drug Response Prediction","display_name":"MIXA-DRP: Multi-modal Integration with Cross-Attention for Anticancer Drug Response Prediction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126079958","doi":"https://doi.org/10.1109/bibm66473.2025.11356032"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5057247414","display_name":"Zhanhong Zhao","orcid":"https://orcid.org/0009-0007-5634-2949"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhong Zhao","raw_affiliation_strings":["School of Information Science and Engineering, Hunan Normal University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan Normal University,Changsha,China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124297909","display_name":"Minzhu Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minzhu Xie","raw_affiliation_strings":["School of Information Science and Engineering, Hunan Normal University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan Normal University,Changsha,China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.67944785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1509","last_page":"1514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.5702000260353088,"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":0.5702000260353088,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.3142000138759613,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.03290000185370445,"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/anticancer-drug","display_name":"Anticancer drug","score":0.6873999834060669},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.5367000102996826},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.5275999903678894},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5267999768257141},{"id":"https://openalex.org/keywords/drug-response","display_name":"Drug response","score":0.505299985408783},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.43799999356269836},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.42289999127388},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4050000011920929}],"concepts":[{"id":"https://openalex.org/C3018146709","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Anticancer drug","level":3,"score":0.6873999834060669},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5267999768257141},{"id":"https://openalex.org/C2994119904","wikidata":"https://www.wikidata.org/wiki/Q1251001","display_name":"Drug response","level":3,"score":0.505299985408783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4440999925136566},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43050000071525574},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41920000314712524},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40869998931884766},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3677000105381012},{"id":"https://openalex.org/C2779446555","wikidata":"https://www.wikidata.org/wiki/Q7663877","display_name":"Systems pharmacology","level":3,"score":0.3617999851703644},{"id":"https://openalex.org/C3019816032","wikidata":"https://www.wikidata.org/wiki/Q2575340","display_name":"Cancer treatment","level":3,"score":0.3199000060558319},{"id":"https://openalex.org/C2776999253","wikidata":"https://www.wikidata.org/wiki/Q1304270","display_name":"Combination therapy","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C2983331546","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer therapy","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.25870001316070557},{"id":"https://openalex.org/C64903051","wikidata":"https://www.wikidata.org/wiki/Q2198549","display_name":"Drug development","level":3,"score":0.25619998574256897},{"id":"https://openalex.org/C3020340455","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Cancer drugs","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6076990365982056,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2018663224","https://openalex.org/W2043398720","https://openalex.org/W2164091174","https://openalex.org/W2197241765","https://openalex.org/W2461427403","https://openalex.org/W2523562238","https://openalex.org/W2893531376","https://openalex.org/W2899070097","https://openalex.org/W2965750004","https://openalex.org/W3082081167","https://openalex.org/W3095669349","https://openalex.org/W3116278528","https://openalex.org/W4214831389","https://openalex.org/W4297387432","https://openalex.org/W4310642160","https://openalex.org/W4393987114","https://openalex.org/W4403253432"],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"cancer":[1,64],"patient":[2],"responses":[3,144],"to":[4,61],"anticancer":[5,147],"drugs":[6],"is":[7],"essential":[8],"for":[9,145,155],"precision":[10,158],"therapy":[11],"and":[12,36,70,73,80,116,131],"remains":[13],"a":[14,49,56,151],"central":[15],"challenge":[16],"in":[17,102,142],"oncology":[18],"research.":[19],"Existing":[20],"drug":[21,41,75],"response":[22,84],"prediction":[23],"(DRP)":[24],"methods":[25],"often":[26],"suffer":[27],"from":[28],"noisy,":[29],"redundant":[30],"multi-omics":[31],"data,":[32],"suboptimal":[33],"cross-omics":[34],"integration,":[35],"incomplete":[37],"fusion":[38],"of":[39,108,111,114,118,128],"multimodal":[40],"representations.":[42],"In":[43],"this":[44],"study,":[45],"we":[46],"propose":[47],"MIXA-DRP,":[48],"unified":[50],"deep":[51],"learning":[52],"framework":[53],"that":[54,95],"leverages":[55],"bidirectional":[57],"multi-head":[58],"cross-attention":[59,133],"mechanism":[60],"jointly":[62],"integrate":[63],"cell":[65],"omics":[66],"(gene":[67],"expression,":[68],"mutation,":[69],"DNA":[71],"methylation)":[72],"diverse":[74],"features":[76],"(molecular":[77],"graphs,":[78],"SMILES,":[79],"Morgan":[81],"fingerprints).":[82],"Final":[83],"predictions":[85],"are":[86],"produced":[87],"via":[88],"stacked":[89],"fully":[90],"connected":[91],"layers.":[92],"Benchmarking":[93],"demonstrates":[94],"MIXA-DRP":[96,149],"achieved":[97],"the":[98,126,132],"best":[99],"overall":[100],"performance":[101],"all":[103],"metrics,":[104],"with":[105],"an":[106],"RMSE":[107],"1.0156,":[109],"R2":[110],"0.8573,":[112],"PCC":[113],"0.9277,":[115],"SCC":[117],"0.9049,":[119],"outperforming":[120],"every":[121],"baseline.":[122],"Ablation":[123],"studies":[124,136],"confirm":[125],"effectiveness":[127],"each":[129],"modality":[130],"architecture.":[134],"Case":[135],"further":[137],"validate":[138],"its":[139],"practical":[140],"utility":[141],"predicting":[143],"novel":[146],"agents.":[148],"offers":[150],"robust,":[152],"interpretable":[153],"solution":[154],"DRP,":[156],"advancing":[157],"medicine":[159],"by":[160],"delivering":[161],"accurate,":[162],"clin-ically":[163],"actionable":[164],"predictions.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-30T00:00:00"}
