{"id":"https://openalex.org/W7126064710","doi":"https://doi.org/10.1109/bibm66473.2025.11356514","title":"Hyperloc: A Hypergraph-Enhanced Multimodal Framework for Multi-Label mRNA Subcellular Localization Prediction","display_name":"Hyperloc: A Hypergraph-Enhanced Multimodal Framework for Multi-Label mRNA Subcellular Localization Prediction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126064710","doi":"https://doi.org/10.1109/bibm66473.2025.11356514"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356514","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":"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/A5124272206","display_name":"Zhenyi Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyi Tu","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University,Xiamen,China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054864889","display_name":"Weikun Fan","orcid":"https://orcid.org/0000-0001-6892-673X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikun Fan","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University,Xiamen,China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101575637","display_name":"Yanju Zhang","orcid":"https://orcid.org/0000-0002-8629-258X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanju Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University,Xiamen,China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124272206"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67218112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"190","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.6761999726295471,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.6761999726295471,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.034699998795986176,"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/T10604","display_name":"RNA Research and Splicing","score":0.031700000166893005,"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/sequence","display_name":"Sequence (biology)","score":0.5931000113487244},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5175999999046326},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5083000063896179},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.482699990272522},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46149998903274536},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44359999895095825},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4311999976634979},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4203000068664551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714900016784668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491000056266785},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5175999999046326},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3910999894142151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36059999465942383},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.35920000076293945},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C202264299","wikidata":"https://www.wikidata.org/wiki/Q905695","display_name":"UniProt","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356514","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2101234009","https://openalex.org/W2163482144","https://openalex.org/W2920949012","https://openalex.org/W2954102902","https://openalex.org/W2963351448","https://openalex.org/W3124828689","https://openalex.org/W4308370554","https://openalex.org/W4310665480","https://openalex.org/W4389174014","https://openalex.org/W4391573533","https://openalex.org/W4391575908","https://openalex.org/W4391607533","https://openalex.org/W4393182935","https://openalex.org/W4394686508","https://openalex.org/W4401510771","https://openalex.org/W4401933875","https://openalex.org/W4403409652","https://openalex.org/W4405828471","https://openalex.org/W4407025248","https://openalex.org/W4407060696","https://openalex.org/W4408117780"],"related_works":[],"abstract_inverted_index":{"The":[0,196],"subcellular":[1],"localization":[2,194],"of":[3,20,53,61,112],"messenger":[4],"RNAs":[5],"(mRNAs)":[6],"provides":[7],"valuable":[8],"insight":[9],"into":[10],"their":[11,156],"biological":[12],"functions.":[13],"In":[14],"order":[15],"to":[16,30,68,126,147,170],"capture":[17],"the":[18,50,59,77,90,93,116,131,166],"co-localization":[19],"mRNA":[21,44,84],"in":[22,42,48,130,165,191],"multiple":[23,185],"compartments,":[24],"many":[25],"efforts":[26],"have":[27,40],"been":[28],"made":[29],"develop":[31],"deep":[32],"learning-based":[33],"multi-label":[34],"prediction":[35,69],"models.":[36],"However,":[37],"existing":[38],"methods":[39,183],"limitations":[41],"modeling":[43],"secondary":[45,87,132],"structures,":[46],"particularly":[47],"capturing":[49,134],"critical":[51],"roles":[52],"substructures":[54],"such":[55],"as":[56],"stem-loops.":[57],"Additionally,":[58],"lack":[60],"efficient":[62],"sequencestructure":[63],"multimodal":[64],"fusion":[65,143],"mechanisms":[66],"leads":[67],"biases.":[70],"To":[71],"address":[72],"these":[73],"challenges,":[74],"we":[75,119],"propose":[76],"Hyperloc":[78,179],"framework,":[79],"which":[80],"integrates":[81,95],"two":[82],"modalities:":[83],"sequence":[85,91,113,150],"and":[86,151,199],"structure.":[88],"For":[89,115],"modality,":[92,118],"framework":[94],"local":[96],"features":[97,137],"extracted":[98],"by":[99],"convolutional":[100],"neural":[101,124],"networks":[102],"with":[103],"global":[104],"statistical":[105],"features,":[106],"thereby":[107],"enabling":[108],"a":[109,122,159],"multi-level":[110],"representation":[111],"information.":[114],"structural":[117,152],"innovatively":[120],"introduce":[121],"hypergraph":[123],"network":[125],"model":[127],"substructure":[128],"relationships":[129],"structure,":[133],"higher-order":[135],"connectivity":[136],"among":[138],"bases.":[139],"Furthermore,":[140],"an":[141],"attention-based":[142],"strategy":[144],"is":[145,163],"employed":[146],"dynamically":[148],"integrate":[149],"modalities,":[153],"adaptively":[154],"adjusting":[155],"weights.":[157],"Finally,":[158],"focal":[160],"loss":[161],"function":[162],"applied":[164],"multilabel":[167],"classification":[168],"task":[169],"optimize":[171],"feature":[172],"learning.":[173],"Extensive":[174],"experimental":[175],"results":[176],"demonstrate":[177],"that":[178],"outperforms":[180],"current":[181],"state-of-the-art":[182],"across":[184],"metrics,":[186],"indicating":[187],"its":[188],"powerful":[189],"capability":[190],"revealing":[192],"complex":[193],"relationships.":[195],"source":[197],"code":[198],"dataset":[200],"are":[201],"publicly":[202],"available":[203],"at":[204],"https://anonymous.4open.science/r/Hyperloc.":[205]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}