{"id":"https://openalex.org/W4392089572","doi":"https://doi.org/10.1093/bib/bbae030","title":"ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction","display_name":"ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4392089572","doi":"https://doi.org/10.1093/bib/bbae030","pmid":"https://pubmed.ncbi.nlm.nih.gov/38385876"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbae030","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae030","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae030/56742399/bbae030.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"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":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae030/56742399/bbae030.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011390265","display_name":"Faiza Mehmood","orcid":null},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Faiza Mehmood","raw_affiliation_strings":["Department of Computer Science, University of Engineering and Technology Lahore , (Faisalabad Campus) \u00a0 Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Engineering and Technology Lahore , (Faisalabad Campus) \u00a0 Pakistan","institution_ids":["https://openalex.org/I142732210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112227840","display_name":"Shazia Arshad","orcid":null},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shazia Arshad","raw_affiliation_strings":["Department of Computer Science, University of Engineering and Technology Lahore , 54890 , Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Engineering and Technology Lahore , 54890 , Pakistan","institution_ids":["https://openalex.org/I142732210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080064006","display_name":"Muhammad Shoaib","orcid":"https://orcid.org/0000-0002-7327-9861"},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Shoaib","raw_affiliation_strings":["Department of Computer Science, University of Engineering and Technology Lahore , 54890 , Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Engineering and Technology Lahore , 54890 , Pakistan","institution_ids":["https://openalex.org/I142732210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011390265"],"corresponding_institution_ids":["https://openalex.org/I142732210"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":5.6977,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96862753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"25","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9997000098228455,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9997000098228455,"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":0.998199999332428,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9973999857902527,"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/enhancer","display_name":"Enhancer","score":0.7606791257858276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140130400657654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5723229646682739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5529376864433289},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5355901718139648},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.508677065372467},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.49416831135749817},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4577779173851013},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45596665143966675},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4380875825881958},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4237544536590576},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.377438485622406},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20624226331710815},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.18537288904190063},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.11719921231269836},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.116303950548172}],"concepts":[{"id":"https://openalex.org/C111936080","wikidata":"https://www.wikidata.org/wiki/Q913367","display_name":"Enhancer","level":4,"score":0.7606791257858276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140130400657654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723229646682739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5529376864433289},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5355901718139648},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.508677065372467},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.49416831135749817},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4577779173851013},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45596665143966675},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4380875825881958},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4237544536590576},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.377438485622406},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20624226331710815},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.18537288904190063},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.11719921231269836},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.116303950548172},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D008511","descriptor_name":"Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008511","descriptor_name":"Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008511","descriptor_name":"Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008511","descriptor_name":"Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008511","descriptor_name":"Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008511","descriptor_name":"Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009711","descriptor_name":"Nucleotides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009711","descriptor_name":"Nucleotides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009711","descriptor_name":"Nucleotides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009711","descriptor_name":"Nucleotides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009711","descriptor_name":"Nucleotides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009711","descriptor_name":"Nucleotides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012045","descriptor_name":"Regulatory Sequences, Nucleic Acid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012045","descriptor_name":"Regulatory Sequences, Nucleic Acid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012045","descriptor_name":"Regulatory Sequences, Nucleic Acid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012045","descriptor_name":"Regulatory Sequences, Nucleic Acid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012045","descriptor_name":"Regulatory Sequences, Nucleic Acid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012045","descriptor_name":"Regulatory Sequences, Nucleic Acid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbae030","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae030","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae030/56742399/bbae030.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"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":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38385876","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38385876","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":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10885011","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10885011","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10885011/pdf/bbae030.pdf","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbae030","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae030","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae030/56742399/bbae030.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"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":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318429","display_name":"Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz","ror":"https://ror.org/01ayc5b57"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392089572.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1807324513","https://openalex.org/W1965425724","https://openalex.org/W1968361401","https://openalex.org/W1981030303","https://openalex.org/W1986865417","https://openalex.org/W1991740019","https://openalex.org/W1997590968","https://openalex.org/W1998306196","https://openalex.org/W2014560520","https://openalex.org/W2015845481","https://openalex.org/W2110554841","https://openalex.org/W2117723622","https://openalex.org/W2124343649","https://openalex.org/W2134854530","https://openalex.org/W2137465688","https://openalex.org/W2151754128","https://openalex.org/W2159164310","https://openalex.org/W2231149964","https://openalex.org/W2409095766","https://openalex.org/W2531017381","https://openalex.org/W2556513628","https://openalex.org/W2565121836","https://openalex.org/W2580093747","https://openalex.org/W2582377823","https://openalex.org/W2590653482","https://openalex.org/W2591130492","https://openalex.org/W2766812108","https://openalex.org/W2783049948","https://openalex.org/W2802765514","https://openalex.org/W2807186140","https://openalex.org/W2807671703","https://openalex.org/W2810039070","https://openalex.org/W2904362005","https://openalex.org/W2914454647","https://openalex.org/W2915815599","https://openalex.org/W2918676206","https://openalex.org/W2950354537","https://openalex.org/W2963393302","https://openalex.org/W2968775930","https://openalex.org/W2995997429","https://openalex.org/W2996783813","https://openalex.org/W2999481648","https://openalex.org/W3010115535","https://openalex.org/W3013230828","https://openalex.org/W3045910546","https://openalex.org/W3046013264","https://openalex.org/W3087265072","https://openalex.org/W3089144988","https://openalex.org/W3090005828","https://openalex.org/W3096505797","https://openalex.org/W3105379318","https://openalex.org/W3106109117","https://openalex.org/W3121695713","https://openalex.org/W3129125493","https://openalex.org/W3134384141","https://openalex.org/W3138043598","https://openalex.org/W3189760294","https://openalex.org/W3197939376","https://openalex.org/W3205048717","https://openalex.org/W4206127170","https://openalex.org/W4213068753","https://openalex.org/W4229079441","https://openalex.org/W4282935413","https://openalex.org/W4283816456","https://openalex.org/W4286715996","https://openalex.org/W4290744507","https://openalex.org/W4291302261","https://openalex.org/W4293088201","https://openalex.org/W4294691146","https://openalex.org/W4296564676","https://openalex.org/W4296613150","https://openalex.org/W4303628999","https://openalex.org/W4308992137","https://openalex.org/W4311860578","https://openalex.org/W4360938365","https://openalex.org/W4379985112","https://openalex.org/W4386219923","https://openalex.org/W6732702628","https://openalex.org/W6752366569","https://openalex.org/W6766418023","https://openalex.org/W6771945475","https://openalex.org/W6838923962","https://openalex.org/W6843318827"],"related_works":["https://openalex.org/W2113330652","https://openalex.org/W2061914098","https://openalex.org/W4393004084","https://openalex.org/W4309683845","https://openalex.org/W2118646732","https://openalex.org/W2378211422","https://openalex.org/W4387565139","https://openalex.org/W4389440207","https://openalex.org/W4372048956","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Enhancers":[0],"play":[1],"an":[2,151],"important":[3],"role":[4],"in":[5,22,110,116,150,171,219,245],"the":[6,23,34,70,166,175,185,203,211,229,237],"process":[7,30],"of":[8,18,25,38,41,158,168,187,221,247],"gene":[9,28],"expression":[10,29],"regulation.":[11],"In":[12],"DNA":[13,97,135],"sequence":[14],"abundance":[15],"or":[16],"absence":[17],"enhancers":[19,26,74],"and":[20,36,50,55,64,68,76,90,99,103,112,194,217,223,243,249],"irregularities":[21],"strength":[24,56,77,231],"affects":[27],"that":[31,94,128,183],"leads":[32],"to":[33,73],"initiation":[35],"propagation":[37],"diverse":[39],"types":[40],"genetic":[42],"diseases":[43],"such":[44],"as":[45,162],"hemophilia,":[46],"bladder":[47],"cancer,":[48],"diabetes":[49],"congenital":[51],"disorders.":[52],"Enhancer":[53],"identification":[54,75,205],"prediction":[57,232],"through":[58],"experimental":[59],"approaches":[60],"is":[61,200],"expensive,":[62],"time-consuming":[63],"error-prone.":[65],"To":[66],"accelerate":[67],"expedite":[69],"research":[71],"related":[72],"prediction,":[78],"around":[79],"19":[80],"computational":[81],"frameworks":[82,87,107],"have":[83],"been":[84],"proposed.":[85],"These":[86],"used":[88],"machine":[89],"deep":[91,125],"learning":[92,126,144],"methods":[93],"take":[95],"raw":[96],"sequences":[98,136],"predict":[100],"enhancer's":[101],"presence":[102],"strength.":[104],"However,":[105],"these":[106],"still":[108],"lack":[109],"performance":[111],"are":[113],"not":[114],"useful":[115],"real":[117],"time":[118],"analysis.":[119],"This":[120],"paper":[121],"presents":[122,179],"a":[123,147,156,172,180],"novel":[124,181],"framework":[127,199,214,240],"uses":[129],"language":[130,148],"modeling":[131],"strategies":[132],"for":[133],"transforming":[134],"into":[137],"statistical":[138],"feature":[139],"space.":[140],"It":[141],"applies":[142],"transfer":[143],"by":[145,154,215,241],"training":[146],"model":[149],"unsupervised":[152],"fashion":[153],"predicting":[155],"group":[157],"nucleotides":[159],"also":[160],"known":[161],"k-mers":[163,170],"based":[164],"on":[165],"context":[167],"existing":[169,212,238],"sequence.":[173],"At":[174],"classification":[176],"stage,":[177],"it":[178,209,235],"classifier":[182],"reaps":[184],"benefits":[186],"two":[188],"different":[189],"architectures:":[190],"convolutional":[191],"neural":[192],"network":[193],"attention":[195],"mechanism.":[196],"The":[197],"proposed":[198],"evaluated":[201,227],"over":[202,228],"enhancer":[204,230],"benchmark":[206,233],"dataset":[207],"where":[208],"outperforms":[210,236],"best-performing":[213,239],"5%,":[216],"9%":[218],"terms":[220,246],"accuracy":[222,248],"MCC.":[224,250],"Similarly,":[225],"when":[226],"dataset,":[234],"4%,":[242],"7%":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
