{"id":"https://openalex.org/W2573425590","doi":"https://doi.org/10.1109/bibm.2016.7822793","title":"A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions","display_name":"A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2573425590","doi":"https://doi.org/10.1109/bibm.2016.7822793","mag":"2573425590"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2016.7822793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5100618554","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-1390-4557"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102208097","display_name":"Cheng Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106808","display_name":"Guangzhou Institute of Advanced Technology","ror":"https://ror.org/01vcw4681","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106808"]},{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Ling","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China","Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078894109","display_name":"Jingyang Gao","orcid":"https://orcid.org/0000-0003-1270-6257"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyang Gao","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7021,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88669825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"467","issue":null,"first_page":"1806","last_page":"1813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9995999932289124,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9995999932289124,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9991000294685364,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9984999895095825,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8189661502838135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6569048166275024},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5552790760993958},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.5487103462219238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4898940920829773},{"id":"https://openalex.org/keywords/structural-variation","display_name":"Structural variation","score":0.4832352101802826},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4585331380367279},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.44476330280303955},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.43712109327316284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3913641571998596},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36413541436195374},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2575967311859131},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.24131107330322266},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.09971696138381958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09607243537902832}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8189661502838135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569048166275024},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5552790760993958},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.5487103462219238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4898940920829773},{"id":"https://openalex.org/C151020129","wikidata":"https://www.wikidata.org/wiki/Q7625067","display_name":"Structural variation","level":4,"score":0.4832352101802826},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4585331380367279},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.44476330280303955},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.43712109327316284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3913641571998596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36413541436195374},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2575967311859131},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.24131107330322266},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09971696138381958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09607243537902832},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm.2016.7822793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"mag:2747508589","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702278653296177","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1487118672","https://openalex.org/W2010947655","https://openalex.org/W2021714239","https://openalex.org/W2083870688","https://openalex.org/W2111584304","https://openalex.org/W2117731089","https://openalex.org/W2137779717","https://openalex.org/W2146005104","https://openalex.org/W2154397429","https://openalex.org/W2171777347","https://openalex.org/W2271840356","https://openalex.org/W2332506150","https://openalex.org/W4297827580"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W1967452726"],"abstract_inverted_index":{"Genomic":[0],"Deletion":[1],"holds":[2],"the":[3,7,76,85],"largest":[4],"proportion":[5],"of":[6,17,40],"structural":[8],"variation":[9],"(SV).":[10],"There":[11],"are":[12],"many":[13],"methods":[14],"for":[15],"detection":[16],"SVs":[18],"using":[19],"next-generation":[20],"data,":[21],"such":[22],"as":[23],"Pindel,":[24],"SVseq2,":[25],"BreakDancer,":[26],"DELLY":[27],"and":[28,87],"so":[29],"on.":[30],"However,":[31],"each":[32],"method":[33],"has":[34],"advantages":[35],"on":[36,63],"only":[37],"some":[38],"kind":[39],"SVs.":[41],"For":[42],"deletions,":[43],"existing":[44,95],"tools":[45],"usually":[46],"produce":[47],"variations":[48],"with":[49,72,93],"accurate":[50],"results":[51,82],"under":[52],"0.5.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"present":[58],"CNNdel,":[59],"a":[60],"tool":[61],"based":[62],"shallow":[64],"convolutional":[65],"neural":[66],"network":[67],"to":[68],"detect":[69],"genomic":[70],"deletions":[71],"real":[73],"data":[74],"from":[75],"1000":[77],"Genomes":[78],"Project.":[79],"The":[80],"experimental":[81],"show":[83],"that":[84],"accuracy":[86],"sensitivity":[88],"is":[89],"both":[90],"improved":[91],"compared":[92],"other":[94],"methods.":[96]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}