{"id":"https://openalex.org/W3160510922","doi":"https://doi.org/10.1186/s12859-020-03870-2","title":"PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles","display_name":"PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles","publication_year":2021,"publication_date":"2021-05-01","ids":{"openalex":"https://openalex.org/W3160510922","doi":"https://doi.org/10.1186/s12859-020-03870-2","mag":"3160510922","pmid":"https://pubmed.ncbi.nlm.nih.gov/33980138"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-020-03870-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03870-2","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03870-2","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03870-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008478540","display_name":"Jun Meng","orcid":"https://orcid.org/0000-0002-7357-8562"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Meng","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051242607","display_name":"Qiang Kang","orcid":"https://orcid.org/0000-0001-6579-7944"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Kang","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665773","display_name":"Zheng Chang","orcid":"https://orcid.org/0000-0002-3383-6926"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Chang","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102734160","display_name":"Yushi Luan","orcid":"https://orcid.org/0000-0001-9397-9171"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yushi Luan","raw_affiliation_strings":["School of Bioengineering, Dalian University of Technology, Dalian, 116024, Liaoning, China. luanyush@dlut.edu.cn","School of Bioengineering, Dalian University of Technology, Dalian, 116024, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Bioengineering, Dalian University of Technology, Dalian, 116024, Liaoning, China. luanyush@dlut.edu.cn","institution_ids":["https://openalex.org/I4210092944"]},{"raw_affiliation_string":"School of Bioengineering, Dalian University of Technology, Dalian, 116024, Liaoning, China","institution_ids":["https://openalex.org/I4210092944","https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102734160"],"corresponding_institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.6794,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.83301155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"S3","first_page":"242","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9135000109672546,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9135000109672546,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.02930000051856041,"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":0.008100000210106373,"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":0.7536598443984985},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6545529961585999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509031653404236},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6220190525054932},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5304428935050964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5030624270439148},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.48391109704971313},{"id":"https://openalex.org/keywords/long-non-coding-rna","display_name":"Long non-coding RNA","score":0.47926685214042664},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4581770598888397},{"id":"https://openalex.org/keywords/non-coding-rna","display_name":"Non-coding RNA","score":0.42015182971954346},{"id":"https://openalex.org/keywords/rna","display_name":"RNA","score":0.4037682116031647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33059531450271606},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1759280264377594},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13423877954483032},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07578420639038086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536598443984985},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6545529961585999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509031653404236},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6220190525054932},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5304428935050964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5030624270439148},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.48391109704971313},{"id":"https://openalex.org/C62203573","wikidata":"https://www.wikidata.org/wiki/Q15087973","display_name":"Long non-coding RNA","level":4,"score":0.47926685214042664},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4581770598888397},{"id":"https://openalex.org/C194993378","wikidata":"https://www.wikidata.org/wiki/Q427087","display_name":"Non-coding RNA","level":4,"score":0.42015182971954346},{"id":"https://openalex.org/C67705224","wikidata":"https://www.wikidata.org/wiki/Q11053","display_name":"RNA","level":3,"score":0.4037682116031647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33059531450271606},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1759280264377594},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13423877954483032},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07578420639038086}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062085","descriptor_name":"RNA, Long Noncoding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D062085","descriptor_name":"RNA, Long Noncoding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D062085","descriptor_name":"RNA, Long Noncoding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-020-03870-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03870-2","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03870-2","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33980138","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33980138","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:57c97dee0ba54b1d8730744ada989432","is_oa":true,"landing_page_url":"https://doaj.org/article/57c97dee0ba54b1d8730744ada989432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 22, Iss S3, Pp 1-16 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8114701","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8114701","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":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-020-03870-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03870-2","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03870-2","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3962349799","display_name":null,"funder_award_id":"61872055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8649917763","display_name":null,"funder_award_id":"31872116","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3160510922.pdf","grobid_xml":"https://content.openalex.org/works/W3160510922.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1567302070","https://openalex.org/W1952838455","https://openalex.org/W1976651946","https://openalex.org/W1985258458","https://openalex.org/W1998422171","https://openalex.org/W2025568499","https://openalex.org/W2026980372","https://openalex.org/W2045029772","https://openalex.org/W2061293154","https://openalex.org/W2061548680","https://openalex.org/W2071944562","https://openalex.org/W2075320162","https://openalex.org/W2076528385","https://openalex.org/W2077721732","https://openalex.org/W2086561953","https://openalex.org/W2129375421","https://openalex.org/W2137283579","https://openalex.org/W2138237282","https://openalex.org/W2224020790","https://openalex.org/W2310964761","https://openalex.org/W2519200480","https://openalex.org/W2613239705","https://openalex.org/W2615786037","https://openalex.org/W2761530751","https://openalex.org/W2765094054","https://openalex.org/W2780112348","https://openalex.org/W2799900537","https://openalex.org/W2804331675","https://openalex.org/W2805813857","https://openalex.org/W2807607992","https://openalex.org/W2808579487","https://openalex.org/W2883062882","https://openalex.org/W2907485791","https://openalex.org/W2919115771","https://openalex.org/W2944851425","https://openalex.org/W2947402939","https://openalex.org/W2966284318","https://openalex.org/W2972528761","https://openalex.org/W2994100438","https://openalex.org/W3091979363"],"related_works":["https://openalex.org/W2547129954","https://openalex.org/W1924910987","https://openalex.org/W3146486132","https://openalex.org/W2276469649","https://openalex.org/W3031361789","https://openalex.org/W2205411991","https://openalex.org/W2357413449","https://openalex.org/W3094073736","https://openalex.org/W2390930459","https://openalex.org/W2400563362"],"abstract_inverted_index":{"BACKGROUND:":[0],"Long":[1,22],"noncoding":[2],"RNAs":[3],"(lncRNAs)":[4],"play":[5],"an":[6],"important":[7],"role":[8],"in":[9,188],"regulating":[10],"biological":[11,20],"activities":[12],"and":[13,26,34,58,69,79,84,87,116,152,178,192,198,218,220,228,258,261,269,275],"their":[14],"prediction":[15],"is":[16,67,75,122,213,273],"significant":[17],"for":[18,104,112,119,161,287],"exploring":[19],"processes.":[21],"short-term":[23],"memory":[24],"(LSTM)":[25],"convolutional":[27],"neural":[28],"network":[29],"(CNN)":[30],"can":[31],"automatically":[32],"extract":[33],"learn":[35],"the":[36,40,53,72,89,127,159,169,277],"abstract":[37],"information":[38,54,171],"from":[39,55,172],"encoded":[41,175],"RNA":[42,73,155,173],"sequences":[43,156,174],"to":[44,81,94,98,157,204],"avoid":[45],"complex":[46],"feature":[47],"engineering.":[48],"An":[49],"ensemble":[50],"model":[51,139],"learns":[52,168],"multiple":[56],"perspectives":[57],"shows":[59],"better":[60,238],"performance":[61,128],"than":[62,216,239],"a":[63,135],"single":[64],"model.":[65],"It":[66,165,281],"feasible":[68,274],"interesting":[70],"that":[71,211],"sequence":[74],"considered":[76],"as":[77],"sentence":[78],"image":[80],"train":[82,158],"LSTM":[83],"CNN":[85,219],"respectively,":[86],"then":[88],"trained":[90],"models":[91,160],"are":[92,101,110,196,202,237],"hybridized":[93],"predict":[95],"lncRNAs.":[96,164],"Up":[97],"present,":[99],"there":[100],"various":[102],"predictors":[103],"lncRNAs,":[105,131],"but":[106,181],"few":[107],"of":[108,129,185,241],"them":[109],"proposed":[111,187],"plant.":[113],"A":[114],"reliable":[115],"powerful":[117],"predictor":[118],"plant":[120,163],"lncRNAs":[121],"necessary.":[123],"RESULTS:":[124],"To":[125],"boost":[126],"predicting":[130,162],"this":[132],"paper":[133],"proposes":[134],"hybrid":[136,200],"deep":[137],"learning":[138,245],"based":[140],"on":[141,232],"two":[142],"encoding":[143],"styles":[144],"(PlncRNA-HDeep),":[145],"which":[146,236],"does":[147],"not":[148,166],"require":[149],"prior":[150],"knowledge":[151],"only":[153,167],"uses":[154],"diversified":[170],"by":[176],"p-nucleotide":[177],"one-hot":[179],"encodings,":[180],"also":[182,283],"takes":[183],"advantages":[184],"lncRNA-LSTM":[186,217],"our":[189],"previous":[190],"study":[191],"CNN.":[193],"The":[194],"parameters":[195],"adjusted":[197],"three":[199],"strategies":[201],"tested":[203],"maximize":[205],"its":[206],"performance.":[207],"Experiment":[208],"results":[209],"show":[210],"PlncRNA-HDeep":[212,272],"more":[214],"effective":[215],"obtains":[221,276],"97.9%":[222],"sensitivity,":[223],"95.1%":[224],"precision,":[225],"96.5%":[226,229],"accuracy":[227],"F1":[230],"score":[231],"Zea":[233],"mays":[234],"dataset":[235],"those":[240],"several":[242],"shallow":[243],"machine":[244],"methods":[246],"(support":[247],"vector":[248],"machine,":[249],"random":[250],"forest,":[251],"k-nearest":[252],"neighbor,":[253],"decision":[254],"tree,":[255],"naive":[256],"Bayes":[257],"logistic":[259],"regression)":[260],"some":[262],"existing":[263],"tools":[264],"(CNCI,":[265],"PLEK,":[266],"CPC2,":[267],"LncADeep":[268],"lncRNAnet).":[270],"CONCLUSIONS:":[271],"credible":[278],"predictive":[279],"results.":[280],"may":[282],"provide":[284],"valuable":[285],"references":[286],"other":[288],"related":[289],"research.":[290]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}