{"id":"https://openalex.org/W4206193025","doi":"https://doi.org/10.1109/bibm52615.2021.9669335","title":"Novel Multikernel Trick for Predicting Pan-CancerDistant Metastatic Sites Using a Feature Extraction Strategy","display_name":"Novel Multikernel Trick for Predicting Pan-CancerDistant Metastatic Sites Using a Feature Extraction Strategy","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206193025","doi":"https://doi.org/10.1109/bibm52615.2021.9669335"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669335","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5077269646","display_name":"Yining Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yining Xu","raw_affiliation_strings":["Faculty of Computing Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361515","display_name":"Liyuan Zhang","orcid":"https://orcid.org/0000-0002-7469-1743"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Zhang","raw_affiliation_strings":["Faculty of Computing Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052361224","display_name":"Xinran Cui","orcid":"https://orcid.org/0000-0003-3328-994X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Cui","raw_affiliation_strings":["Faculty of Computing Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051004995","display_name":"Tianyi Zhao","orcid":"https://orcid.org/0000-0003-1913-081X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Zhao","raw_affiliation_strings":["Faculty of Computing Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392450","display_name":"Yadong Wang","orcid":"https://orcid.org/0000-0002-0028-0263"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Wang","raw_affiliation_strings":["Faculty of Computing Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077269646"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34718826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1899","last_page":"1905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.995199978351593,"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/support-vector-machine","display_name":"Support vector machine","score":0.6966294646263123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5917043089866638},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.5867009162902832},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5544984936714172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487263798713684},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5093865990638733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38269734382629395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35960108041763306},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.34485942125320435},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.23979970812797546},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18069621920585632},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16635379195213318}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6966294646263123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5917043089866638},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.5867009162902832},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5544984936714172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487263798713684},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5093865990638733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38269734382629395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35960108041763306},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.34485942125320435},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23979970812797546},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18069621920585632},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16635379195213318}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669335","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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":0.699999988079071,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1966775892","https://openalex.org/W2041073071","https://openalex.org/W2042699075","https://openalex.org/W2148998801","https://openalex.org/W2157224906","https://openalex.org/W2163563958","https://openalex.org/W2579522812","https://openalex.org/W2604314403","https://openalex.org/W2795989238","https://openalex.org/W2801309958","https://openalex.org/W2884771495","https://openalex.org/W2894844737","https://openalex.org/W2899728356","https://openalex.org/W2911592538","https://openalex.org/W2919931614","https://openalex.org/W2943608797","https://openalex.org/W2950834624","https://openalex.org/W2964287897","https://openalex.org/W2989693433","https://openalex.org/W3014623641","https://openalex.org/W3033342863","https://openalex.org/W3171807193","https://openalex.org/W3177272212","https://openalex.org/W3196076186","https://openalex.org/W3201206168","https://openalex.org/W4251728848"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2112208972","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2768048376","https://openalex.org/W2082269393"],"abstract_inverted_index":{"Distant":[0],"metastasis":[1,41,111,160,209],"is":[2],"the":[3,10,44,115,126,214,218,224],"leading":[4],"cause":[5],"of":[6,12,88,94,102,108,128,217,223],"cancer":[7,15,22,28,40,58,103],"death.":[8],"Identifying":[9],"tendency":[11],"a":[13,71,76,92,106,140,151,251],"given":[14],"to":[16,21,38,43,80,124,188,205,242],"metastasize":[17],"could":[18],"be":[19,50],"conducive":[20],"diagnosis":[23],"and":[24,61,84,105,150,171,180,249],"therapeutic":[25],"schedules.":[26],"In":[27,64],"studies,":[29,66],"mRNA":[30,53,134],"gene":[31,54,135],"expression":[32,55,136],"data":[33,56],"have":[34],"been":[35,75],"widely":[36],"used":[37,78,139],"predict":[39,81,206],"due":[42],"ease":[45],"with":[46,190],"which":[47],"they":[48],"can":[49],"obtained.":[51],"Moreover,":[52],"represent":[57],"progression":[59],"directly":[60],"in":[62],"detail.":[63],"these":[65,89],"feature":[67,96,148,194],"extraction":[68,149,195],"followed":[69],"by":[70],"prediction":[72,100],"model":[73],"has":[74],"commonly":[77],"solution":[79],"pan-cancer":[82,110,129,158,207],"prognosis":[83],"tumor":[85],"stage.":[86],"Limitations":[87],"studies":[90],"include":[91],"lack":[93,107],"comprehensive":[95],"extraction,":[97],"relatively":[98],"low":[99],"accuracy":[101],"outcomes":[104],"precise":[109],"site":[112,161],"prediction.To":[113],"address":[114],"questions":[116],"mentioned":[117],"above,":[118],"we":[119],"designed":[120],"an":[121,243],"innovative":[122],"pipeline":[123,241],"determine":[125],"heterogeneity":[127],"distant":[130,159,208],"metastatic":[131],"sites":[132],"using":[133],"data.":[137],"We":[138,237],"directed":[141],"relational":[142,169,182],"graph":[143],"convolutional":[144],"network":[145],"(DRGCN)":[146],"for":[147,157],"multikernel":[152,200,219],"support":[153],"vector":[154],"machine":[155],"(SVM)":[156],"prediction.":[162],"DR-GCN":[163,184],"successfully":[164],"excavated":[165],"hidden":[166],"features":[167,174],"from":[168,175],"networks":[170],"effectively":[172],"extracted":[173],"gene-cancer":[176],"relations,":[177],"cancer-disease":[178],"relations":[179],"gene-gene":[181],"networks.":[183],"was":[185,202],"demonstrably":[186],"able":[187],"deal":[189],"complex":[191],"prior":[192],"knowledge-based":[193],"tasks.":[196],"A":[197],"dynamic":[198],"weight":[199],"SVM":[201,220,227],"then":[203],"applied":[204,239],"sites.":[210],"By":[211],"this":[212],"method,":[213],"AUROC":[215],"(0.7542)":[216],"outperformed":[221],"that":[222],"single":[225],"kernel":[226],"(polykernel:":[228],"0.7346,":[229],"RBF":[230],"kernel:":[231,234],"0.72,":[232],"linear":[233],"0.":[235,262,267],"725S).":[236],"last":[238],"our":[240],"extremely":[244],"unbalanced":[245],"small":[246],"sample":[247],"dataset":[248],"obtained":[250],"higher":[252],"AUPRC":[253],"(0.2606)":[254],"than":[255],"other":[256],"semisupervised":[257],"learning":[258],"methods":[259],"(Laplacian":[260],"SVM:":[261],"1S,":[263,268],"TSVM:":[264],"0.21,":[265],"SSL-EM:":[266],"RRLSL:":[269],"0.22)":[270],"while":[271],"predicting":[272],"TCGA":[273],"glioblastoma":[274],"(GBM)":[275],"patient":[276],"prognosis.":[277]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
