{"id":"https://openalex.org/W7165388973","doi":"https://doi.org/10.1093/bioinformatics/btag403","title":"GMHAN: a heterogeneous graph attention framework for prioritizing coding and non-coding driver genes","display_name":"GMHAN: a heterogeneous graph attention framework for prioritizing coding and non-coding driver genes","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7165388973","doi":"https://doi.org/10.1093/bioinformatics/btag403","pmid":"https://pubmed.ncbi.nlm.nih.gov/42316799"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btag403","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btag403","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1093/bioinformatics/btag403","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139004168","display_name":"Ping Meng","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":false,"raw_author_name":"Ping Meng","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology , Harbin 150001,"],"raw_orcid":"https://orcid.org/0009-0002-2547-3974","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology , Harbin 150001,","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138965595","display_name":"Tianjiao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjiao Zhang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Northeast Forestry University , Harbin 150040,"],"raw_orcid":"https://orcid.org/0000-0001-9807-8620","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Northeast Forestry University , Harbin 150040,","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027092407","display_name":"G Wang","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":false,"raw_author_name":"Guohua Wang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology , Harbin 150001,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology , Harbin 150001,","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":{"value":3618,"currency":"USD","value_usd":3618},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76967056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.7257000207901001,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.7257000207901001,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.048700001090765,"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"}},{"id":"https://openalex.org/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.03959999978542328,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5361999869346619},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.535099983215332},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5336999893188477},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4853000044822693},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4478999972343445},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.4092000126838684},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.39750000834465027},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.3919000029563904},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.37470000982284546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650999784469604},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5361999869346619},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.535099983215332},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.3919000029563904},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.37470000982284546},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.364300012588501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35569998621940613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3418999910354614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3411000072956085},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.3402000069618225},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3296000063419342},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C55105296","wikidata":"https://www.wikidata.org/wiki/Q841382","display_name":"Interaction network","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2515999972820282},{"id":"https://openalex.org/C105565629","wikidata":"https://www.wikidata.org/wiki/Q1248292","display_name":"Gene prediction","level":4,"score":0.25130000710487366}],"mesh":[{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/btag403","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btag403","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:42316799","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42316799","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13310458","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13310458/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btag403","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btag403","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5340142250061035}],"awards":[{"id":"https://openalex.org/G1939265999","display_name":null,"funder_award_id":"62473094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5847276038","display_name":null,"funder_award_id":"62531007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G870551797","display_name":null,"funder_award_id":"62225109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1831033366","https://openalex.org/W1998947396","https://openalex.org/W2009720434","https://openalex.org/W2017138237","https://openalex.org/W2030586293","https://openalex.org/W2036224487","https://openalex.org/W2044433401","https://openalex.org/W2077528068","https://openalex.org/W2088891952","https://openalex.org/W2133658633","https://openalex.org/W2137734450","https://openalex.org/W2158485828","https://openalex.org/W2174734928","https://openalex.org/W2566227895","https://openalex.org/W2586373162","https://openalex.org/W2614443510","https://openalex.org/W2761184186","https://openalex.org/W2795941120","https://openalex.org/W2796408191","https://openalex.org/W2911286998","https://openalex.org/W2949066452","https://openalex.org/W2951560185","https://openalex.org/W2995793704","https://openalex.org/W3134203154","https://openalex.org/W3156270925","https://openalex.org/W3192677404","https://openalex.org/W3195161349","https://openalex.org/W3206417123","https://openalex.org/W4214894331","https://openalex.org/W4246271082","https://openalex.org/W4281613931","https://openalex.org/W4283785215","https://openalex.org/W4288429807","https://openalex.org/W4295885518","https://openalex.org/W4319453988","https://openalex.org/W4322619569","https://openalex.org/W4402921522"],"related_works":[],"abstract_inverted_index":{"MOTIVATION:":[0],"Cancer,":[1],"a":[2,48,114],"disease":[3],"of":[4,60,63,75,89,152],"high":[5],"complexity.":[6],"Identifying":[7],"cancer":[8,111],"driver":[9,36,41],"genes":[10,37,64,90,107],"is":[11,154],"fundamental":[12],"for":[13],"elucidating":[14],"oncogenesis":[15],"and":[16,29,65,91,108,127,135,158],"promoting":[17],"precision":[18],"medicine.":[19],"Currently,":[20],"most":[21],"approaches":[22],"mainly":[23,33],"focus":[24],"on":[25,52],"homogeneous":[26],"gene":[27],"networks":[28,83],"single-omics":[30],"data,":[31],"thereby":[32],"identifying":[34,143],"coding":[35],"while":[38],"ignoring":[39],"non-coding":[40],"genes.":[42],"RESULT:":[43],"Thus,":[44],"we":[45,55,78],"introduced":[46],"GMHAN,":[47],"novel":[49],"framework":[50],"based":[51],"HAN.":[53],"Firstly,":[54],"integrated":[56],"the":[57,72,94,104],"three":[58],"types":[59],"omics":[61],"data":[62],"PPI":[66],"network":[67],"topology":[68],"feature,":[69],"together":[70],"with":[71],"multi-dimensional":[73],"features":[74],"miRNAs.":[76,92],"Afterwards,":[77],"used":[79],"heterogeneous":[80],"graph":[81],"attention":[82],"to":[84,102],"obtain":[85,103],"deep":[86,95],"feature":[87,96],"embeddings":[88,97],"Finally,":[93],"are":[98],"input":[99],"multilayer":[100],"perceptron":[101],"probability":[105],"that":[106],"miRNAs":[109],"being":[110],"drivers.":[112,145],"In":[113],"comparative":[115],"evaluation":[116],"against":[117],"seven":[118],"methods,":[119],"GMHAN":[120,153],"demonstrates":[121],"better":[122],"performance":[123],"across":[124],"both":[125],"pan-cancer":[126],"cancer-specific":[128],"datasets,":[129],"achieving":[130],"higher":[131],"scores":[132],"in":[133,142],"AUC":[134],"AUPR.":[136],"It":[137],"has":[138],"confirmed":[139],"its":[140],"effectiveness":[141],"carcinogenic":[144],"AVAILABILITY":[146],"AND":[147],"IMPLEMENTATION:":[148],"The":[149],"source":[150],"code":[151],"available":[155],"at:":[156],"https://github.com/mping315/GMHAN":[157],"https://doi.org/10.5281/zenodo.20154736.":[159]},"counts_by_year":[],"updated_date":"2026-06-29T06:13:29.287314","created_date":"2026-06-20T00:00:00"}
