{"id":"https://openalex.org/W4406238048","doi":"https://doi.org/10.1109/bibm62325.2024.10822026","title":"multiTAD: an Attention-Based Deep Learning Model for Identifying TAD Boundaries through Multi-Size Feature Integration","display_name":"multiTAD: an Attention-Based Deep Learning Model for Identifying TAD Boundaries through Multi-Size Feature Integration","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406238048","doi":"https://doi.org/10.1109/bibm62325.2024.10822026"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822026","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":"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/A5100422543","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0001-6674-8140"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101073633","display_name":"Li Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Tang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031079267","display_name":"Hanyu Luo","orcid":"https://orcid.org/0000-0003-1373-5818"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Luo","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077323433","display_name":"Yajing Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Deng","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719013","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-0188-1394"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"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":"244","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.09160000085830688,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.09160000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075821161270142},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6388072967529297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5440196394920349},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4959622323513031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075821161270142},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6388072967529297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440196394920349},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4959622323513031},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822026","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":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1859117663","https://openalex.org/W2070021921","https://openalex.org/W2105242349","https://openalex.org/W2169389191","https://openalex.org/W2530292798","https://openalex.org/W2557097554","https://openalex.org/W2745733514","https://openalex.org/W2963420686","https://openalex.org/W2998689926","https://openalex.org/W3124946892","https://openalex.org/W3157015907","https://openalex.org/W4206494592"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Topologically":[0],"associating":[1],"domains":[2],"(TADs)":[3],"are":[4,19],"fundamental":[5],"3D":[6],"genome":[7,38],"structures":[8],"that":[9,78],"facilitate":[10],"key":[11],"gene":[12,41],"regulatory":[13],"interactions.":[14],"The":[15],"boundaries":[16,49,87],"of":[17,62,88],"TADs":[18],"rich":[20],"in":[21,118],"functional":[22],"elements":[23],"critical":[24],"for":[25,33,46],"maintaining":[26],"structural":[27],"integrity,":[28],"making":[29],"their":[30],"identification":[31],"essential":[32],"understanding":[34],"the":[35,58],"relationship":[36],"between":[37],"organization":[39],"and":[40,56],"expression.":[42],"However,":[43],"existing":[44],"algorithms":[45],"identifying":[47],"TAD":[48,86],"often":[50],"rely":[51],"on":[52],"fixed":[53],"boundary":[54,98],"sizes":[55],"neglect":[57],"varying":[59],"predictive":[60,111],"power":[61],"different":[63,102],"features.":[64],"To":[65],"address":[66],"these":[67],"limitations,":[68],"we":[69],"introduce":[70],"multiTAD,":[71],"an":[72],"advanced":[73],"attention-based":[74],"deep":[75],"learning":[76],"model":[77],"leverages":[79],"12":[80],"epigenetic":[81],"signals":[82],"to":[83],"accurately":[84],"detect":[85],"diverse":[89],"sizes.":[90],"multiTAD":[91,106],"significantly":[92],"outperforms":[93],"mainstream":[94],"approaches,":[95],"revealing":[96],"distinct":[97],"size":[99],"preferences":[100],"across":[101],"cell":[103],"lines.":[104],"Additionally,":[105],"demonstrates":[107],"strong":[108],"cross-cell":[109],"line":[110],"capabilities,":[112],"further":[113],"highlighting":[114],"its":[115],"broad":[116],"applicability":[117],"genomic":[119],"research.":[120]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}