{"id":"https://openalex.org/W3199853838","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533355","title":"Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge","display_name":"Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199853838","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533355","mag":"3199853838"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Impute_Gene_Expression_Missing_Values_via_Biological_Networks_Optimal_Fusion_of_Data_and_Knowledge/20644194","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013370782","display_name":"Mingrong Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mingrong Xiang","raw_affiliation_strings":["School of Information Technology, Deakin University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Melbourne, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062082949","display_name":"Jingyu Hou","orcid":"https://orcid.org/0000-0002-6403-9786"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jingyu Hou","raw_affiliation_strings":["School of Information Technology, Deakin University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Melbourne, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090419741","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0002-4711-7543"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Luo","raw_affiliation_strings":["School of Information Technology, Deakin University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Melbourne, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024761740","display_name":"Wenjing Tao","orcid":"https://orcid.org/0000-0002-2622-3486"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Tao","raw_affiliation_strings":["Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017777601","display_name":"Deshou Wang","orcid":"https://orcid.org/0000-0002-4967-524X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deshou Wang","raw_affiliation_strings":["Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4396,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62313455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21 2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980000257492065,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9944000244140625,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9819999933242798,"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/imputation","display_name":"Imputation (statistics)","score":0.8884281516075134},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7753294706344604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6812125444412231},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6590261459350586},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6484422087669373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41718176007270813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3351079225540161}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8884281516075134},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7753294706344604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812125444412231},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6590261459350586},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6484422087669373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41718176007270813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3351079225540161},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30156393","is_oa":false,"landing_page_url":"http://doi.org/10.1109/ijcnn52387.2021.9533355","pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20644194","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Impute_Gene_Expression_Missing_Values_via_Biological_Networks_Optimal_Fusion_of_Data_and_Knowledge/20644194","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20644194","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Impute_Gene_Expression_Missing_Values_via_Biological_Networks_Optimal_Fusion_of_Data_and_Knowledge/20644194","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W612972800","https://openalex.org/W1489637972","https://openalex.org/W1522301498","https://openalex.org/W1758524554","https://openalex.org/W1919216911","https://openalex.org/W1991537543","https://openalex.org/W2025768430","https://openalex.org/W2049633694","https://openalex.org/W2094689902","https://openalex.org/W2096863518","https://openalex.org/W2109204369","https://openalex.org/W2110121428","https://openalex.org/W2114933215","https://openalex.org/W2115098571","https://openalex.org/W2118258530","https://openalex.org/W2119253710","https://openalex.org/W2136714708","https://openalex.org/W2147169375","https://openalex.org/W2152322845","https://openalex.org/W2160264790","https://openalex.org/W2163485494","https://openalex.org/W2171118759","https://openalex.org/W2171802582","https://openalex.org/W2611328865","https://openalex.org/W2613282090","https://openalex.org/W2624431344","https://openalex.org/W2754173890","https://openalex.org/W2803403013","https://openalex.org/W2808191072","https://openalex.org/W2891381594","https://openalex.org/W2902096271","https://openalex.org/W2905224888","https://openalex.org/W2938634307","https://openalex.org/W2949419207","https://openalex.org/W2949527784","https://openalex.org/W2951175428","https://openalex.org/W2951370351","https://openalex.org/W2963258546","https://openalex.org/W2974274234","https://openalex.org/W2975868979","https://openalex.org/W2996028985","https://openalex.org/W3088067687","https://openalex.org/W3109615170","https://openalex.org/W4242911326","https://openalex.org/W4294558607","https://openalex.org/W4298826872","https://openalex.org/W6631190155","https://openalex.org/W6637925745","https://openalex.org/W6641162989","https://openalex.org/W6737803472","https://openalex.org/W6738964360","https://openalex.org/W6751145664","https://openalex.org/W6757374366","https://openalex.org/W6767998753","https://openalex.org/W6783441700"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Gene":[0],"expression":[1,98,117],"data":[2,39,56,94,99],"often":[3],"contain":[4],"missing":[5,38,93],"values":[6],"that,":[7],"if":[8],"not":[9],"handled":[10],"properly,":[11],"may":[12],"mislead":[13],"or":[14],"invalidate":[15],"the":[16,20,37,53,69,91],"downstream":[17],"analyses.":[18],"With":[19],"emergence":[21],"of":[22,50,72,87],"graph":[23],"neural":[24],"networks":[25,89,114],"(GNN),":[26],"domain":[27],"knowledge":[28],"about":[29],"gene":[30,116],"regulation":[31],"can":[32,57],"be":[33],"leveraged":[34],"to":[35,60],"guide":[36],"imputation.":[40,62,95],"We":[41,63,80],"show":[42,119],"in":[43,90],"this":[44,65],"paper,":[45],"however,":[46],"that":[47,120],"naive":[48],"application":[49],"GNN":[51,73,106,130],"on":[52,110],"raw":[54],"gene-expression":[55,92],"actually":[58],"lead":[59],"worse":[61],"analyse":[64],"problem":[66],"considering":[67],"both":[68],"intrinsic":[70],"property":[71],"message":[74,107],"passing":[75],"and":[76,101,115,128],"potential":[77],"data-knowledge":[78],"inconsistency.":[79],"propose":[81],"two":[82,111],"measures":[83],"towards":[84],"optimal":[85],"integration":[86],"biological":[88,113],"These":[96],"include":[97],"normalisation":[100],"a":[102],"weighting":[103],"scheme":[104],"for":[105],"passing.":[108],"Experiments":[109],"different":[112],"datasets":[118],"our":[121],"method":[122],"outperforms":[123],"state-of-the-art":[124],"generic":[125],"imputation":[126],"algorithms":[127],"alternative":[129],"models,":[131],"obtaining":[132],"lower":[133],"mean":[134],"absolute":[135],"error":[136],"(MAE)":[137],"consistently.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}