{"id":"https://openalex.org/W4406261146","doi":"https://doi.org/10.1109/bibm62325.2024.10822209","title":"Q-TetoFormer: A New Gene Regulatory Network Prediction Method Based on Quantum Computing and Transformer","display_name":"Q-TetoFormer: A New Gene Regulatory Network Prediction Method Based on Quantum Computing and Transformer","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261146","doi":"https://doi.org/10.1109/bibm62325.2024.10822209"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5051466085","display_name":"Hanmo Wang","orcid":"https://orcid.org/0000-0001-5753-6015"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanmo Wang","raw_affiliation_strings":["South China Normal University,School of Computer Science,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China Normal University,School of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051466085"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22073467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9097999930381775,"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":0.9097999930381775,"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":0.6145853400230408},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5539968609809875},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5101644992828369},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.45178067684173584},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3658573031425476},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.360136479139328},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.32554441690444946},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.29586929082870483},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.14313870668411255},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.12807631492614746},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12458893656730652},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1091490387916565},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10403794050216675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08868324756622314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145853400230408},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5539968609809875},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5101644992828369},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.45178067684173584},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3658573031425476},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.360136479139328},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.32554441690444946},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.29586929082870483},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.14313870668411255},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.12807631492614746},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12458893656730652},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1091490387916565},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10403794050216675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08868324756622314},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":16,"referenced_works":["https://openalex.org/W2003656163","https://openalex.org/W2061425021","https://openalex.org/W2163296115","https://openalex.org/W2174510006","https://openalex.org/W2953788278","https://openalex.org/W3122943587","https://openalex.org/W4205848861","https://openalex.org/W4206310632","https://openalex.org/W4287447409","https://openalex.org/W4297491323","https://openalex.org/W4384205792","https://openalex.org/W4385245566","https://openalex.org/W4387774515","https://openalex.org/W6771891258","https://openalex.org/W6842389187","https://openalex.org/W6867467837"],"related_works":["https://openalex.org/W2111375262","https://openalex.org/W2317728013","https://openalex.org/W4252076617","https://openalex.org/W1991205173","https://openalex.org/W2109048960","https://openalex.org/W2741481635","https://openalex.org/W2338537463","https://openalex.org/W2183644707","https://openalex.org/W2038165453","https://openalex.org/W1885824365"],"abstract_inverted_index":{"Quantum":[0],"computing":[1,61],"has":[2],"enabled":[3],"precise":[4],"simulation":[5],"in":[6],"gene":[7,75],"regulatory":[8,14],"network":[9],"(GRN)":[10],"prediction":[11,68,130,139],"by":[12,73],"capturing":[13],"relationships":[15],"at":[16],"a":[17,55,80,92,117],"microscopic":[18],"level.":[19],"However,":[20],"current":[21],"quantum":[22,60,83,101,114],"approaches":[23],"face":[24],"significant":[25],"limitations":[26],"due":[27],"to":[28,39,65,99],"high":[29],"noise":[30,102],"levels":[31],"and":[32,51,70,103],"prohibitive":[33],"training":[34,148],"costs,":[35],"making":[36],"them":[37],"challenging":[38],"implement":[40],"effectively.":[41],"To":[42],"address":[43],"these":[44],"issues,":[45],"we":[46],"introduce":[47],"Q-TetoFormer":[48,134],"(Quantum-Tuned":[49],"Extraction":[50],"Transformation":[52],"Orchestrator":[53],"Former),":[54],"novel":[56],"framework":[57],"that":[58,95,120,133],"merges":[59],"with":[62],"Transformer":[63],"architecture":[64],"enhance":[66],"GRN":[67,129],"accuracy":[69,140],"efficiency.Q-TetoFormer":[71],"begins":[72],"preprocessing":[74],"data,":[76],"feeding":[77],"it":[78],"through":[79],"neural":[81],"network-embedded":[82],"circuit.":[84],"The":[85,107],"circuit\u2019s":[86],"output":[87,108],"then":[88],"flows":[89],"into":[90],"TetoFormer,":[91],"Transformer-based":[93],"module":[94],"leverages":[96],"attention":[97],"mechanisms":[98],"reduce":[100],"enrich":[104],"feature":[105],"extraction.":[106],"from":[109],"TetoFormer":[110],"subsequently":[111],"optimizes":[112],"the":[113],"circuit,":[115],"creating":[116],"feedback":[118],"loop":[119],"improves":[121],"model":[122],"performance":[123],"iteratively.":[124],"Extensive":[125],"experiments":[126],"on":[127],"five":[128],"benchmarks":[131],"demonstrate":[132],"not":[135],"only":[136],"achieves":[137],"superior":[138],"over":[141],"state-of-the-art":[142],"methods":[143],"but":[144],"also":[145],"significantly":[146],"reduces":[147],"overhead,":[149],"enhancing":[150],"its":[151],"practical":[152],"utility.":[153]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
