{"id":"https://openalex.org/W4408200878","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906247","title":"Multimodal-CanGen: A Multimodal Genome-Based Model for Cancer Type Classification","display_name":"Multimodal-CanGen: A Multimodal Genome-Based Model for Cancer Type Classification","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4408200878","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906247"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei64163.2024.10906247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5114142432","display_name":"Zitao Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Zitao Xuan","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765429","display_name":"Xuefeng Jiang","orcid":"https://orcid.org/0000-0002-0211-9123"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Jiang","raw_affiliation_strings":["Shenzhen Polytechnic University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Polytechnic University,Shenzhen,China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101693079","display_name":"Yu Shi","orcid":"https://orcid.org/0000-0002-8046-9700"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shi","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108043491","display_name":"Zhide Li","orcid":"https://orcid.org/0009-0004-0387-4448"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Zhide Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047157","display_name":"Yuhan Dong","orcid":"https://orcid.org/0000-0001-5275-1787"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Yuhan Dong","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.8406999707221985,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.8406999707221985,"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":0.7174000144004822,"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":0.5978617072105408},{"id":"https://openalex.org/keywords/multimodal-therapy","display_name":"Multimodal therapy","score":0.5122682452201843},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.46282678842544556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4575045108795166},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.4322178363800049},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3204766511917114},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1846773326396942},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.14371651411056519},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10481199622154236},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.0868104100227356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978617072105408},{"id":"https://openalex.org/C4441509","wikidata":"https://www.wikidata.org/wiki/Q6418787","display_name":"Multimodal therapy","level":2,"score":0.5122682452201843},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.46282678842544556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4575045108795166},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.4322178363800049},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3204766511917114},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1846773326396942},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.14371651411056519},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10481199622154236},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0868104100227356},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei64163.2024.10906247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":21,"referenced_works":["https://openalex.org/W2076774554","https://openalex.org/W2487770199","https://openalex.org/W2613362156","https://openalex.org/W2738069262","https://openalex.org/W2937319208","https://openalex.org/W2985200725","https://openalex.org/W2985901353","https://openalex.org/W2996092187","https://openalex.org/W3005188734","https://openalex.org/W3124405557","https://openalex.org/W3127238141","https://openalex.org/W3128646645","https://openalex.org/W4220903131","https://openalex.org/W4285043711","https://openalex.org/W4310887545","https://openalex.org/W4361269820","https://openalex.org/W4378838672","https://openalex.org/W4383553846","https://openalex.org/W4386861232","https://openalex.org/W4392241741","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W2086525401","https://openalex.org/W4292002379","https://openalex.org/W2006735166","https://openalex.org/W2079327011","https://openalex.org/W2053325634","https://openalex.org/W3178279768","https://openalex.org/W2888097224","https://openalex.org/W2773861473","https://openalex.org/W193851735","https://openalex.org/W1971903861"],"abstract_inverted_index":{"Cancer":[0,132],"type":[1,70],"classification":[2,71],"is":[3,16],"crucial":[4],"for":[5,19,130,160],"planning":[6],"cancer":[7,21,30,69,75,147,162],"treatment.":[8,163],"Previous":[9],"research":[10],"has":[11,153],"shown":[12],"that":[13,102],"genomic":[14,27],"information":[15],"highly":[17,32],"informative":[18],"classifying":[20],"types.":[22],"However,":[23],"the":[24,154,158],"relationship":[25],"between":[26],"features":[28,42,114,122],"and":[29,34,60,88,97,107,127,152],"remains":[31],"complex,":[33],"current":[35],"genome-based":[36],"models":[37,87],"primarily":[38],"use":[39],"binary":[40,120],"genome-level":[41,94,121],"or":[43],"rely":[44],"on":[45],"comprehensive":[46],"whole-genome":[47],"sequencing":[48,77],"(WGS)":[49],"data,":[50],"which":[51,67],"limits":[52],"their":[53],"clinical":[54,62,150],"feasibility.":[55],"To":[56],"address":[57],"these":[58],"complexities":[59],"improve":[61],"applicability,":[63],"we":[64],"introduce":[65],"Multimodal-CanGen,":[66],"enhances":[68],"using":[72],"clinically":[73],"accessible":[74],"ge-nomic":[76],"data.":[78],"Our":[79],"approach":[80],"includes":[81],"a":[82,93,98],"sequence-level":[83,113],"encoder":[84],"employing":[85],"pre-trained":[86],"graph":[89],"neural":[90],"networks":[91],"(GNNs),":[92],"feature":[95],"encoder,":[96],"multimodal":[99],"fusion":[100],"module":[101],"integrates":[103],"gated":[104],"attention":[105],"mechanisms":[106],"tensor":[108],"fusion.":[109],"The":[110],"integration":[111],"of":[112,133],"provides":[115,141],"insights":[116],"typically":[117],"unavailable":[118],"from":[119],"alone,":[123],"demonstrating":[124],"superior":[125],"performance":[126],"showing":[128],"potential":[129,155],"predicting":[131,146],"Unknown":[134],"Primary":[135],"(CUP)":[136],"cases.":[137],"Overall,":[138],"our":[139],"work":[140],"an":[142],"advancement":[143],"in":[144,149],"accurately":[145],"types":[148],"practice":[151],"to":[156],"pave":[157],"way":[159],"improved":[161]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}