{"id":"https://openalex.org/W4313527350","doi":"https://doi.org/10.1109/bibm55620.2022.9995009","title":"A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data","display_name":"A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527350","doi":"https://doi.org/10.1109/bibm55620.2022.9995009"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995009","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995009","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","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/A5100347490","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0003-3934-0435"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juan Wang","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China,276826"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China,276826","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443576","display_name":"Lihong Wang","orcid":"https://orcid.org/0000-0003-2783-4374"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Hong Wang","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China,276826"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China,276826","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037394161","display_name":"Tian-Jing Qiao","orcid":"https://orcid.org/0000-0002-0619-1202"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Jing Qiao","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China,276826"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China,276826","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011951772","display_name":"Shasha Yuan","orcid":"https://orcid.org/0000-0003-4792-9880"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha-Sha Yuan","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China,276826"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China,276826","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100347490"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46123418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"3179","last_page":"3186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"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":0.9951000213623047,"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/T10057","display_name":"Face and Expression Recognition","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.779862642288208},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5865725874900818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625051259994507},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4835057556629181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4687386155128479},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.45025646686553955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38817811012268066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3098447918891907},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14013373851776123}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.779862642288208},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5865725874900818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625051259994507},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4835057556629181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4687386155128479},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.45025646686553955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38817811012268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3098447918891907},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14013373851776123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995009","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995009","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1647645866","https://openalex.org/W1975900269","https://openalex.org/W1979993842","https://openalex.org/W2013029404","https://openalex.org/W2102967859","https://openalex.org/W2125941741","https://openalex.org/W2140245639","https://openalex.org/W2147278762","https://openalex.org/W2147339185","https://openalex.org/W2153915640","https://openalex.org/W2169658215","https://openalex.org/W2185001764","https://openalex.org/W2285139619","https://openalex.org/W2409192492","https://openalex.org/W2748391982","https://openalex.org/W2749238013","https://openalex.org/W2795686629","https://openalex.org/W2800031841","https://openalex.org/W2917352565","https://openalex.org/W2951085447","https://openalex.org/W3001520435","https://openalex.org/W3015209258","https://openalex.org/W4251110191","https://openalex.org/W6603183647","https://openalex.org/W6675164516","https://openalex.org/W6686230823"],"related_works":["https://openalex.org/W4385270139","https://openalex.org/W3080491161","https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W2590034888","https://openalex.org/W4292621762","https://openalex.org/W3098102082","https://openalex.org/W2110877857","https://openalex.org/W2589483699","https://openalex.org/W3107909692"],"abstract_inverted_index":{"Recently,":[0],"cancer":[1,43,66,113,222],"sample":[2,114,223],"clustering":[3,44,54,65,115,213],"research":[4],"based":[5,71],"on":[6,72,96,190,221],"gene":[7,24,79],"expression":[8,25,80],"data":[9,20,26,147,156,181,184,204],"has":[10,59],"been":[11],"completely":[12],"developed.":[13],"Moreover,":[14],"studies":[15],"discover":[16],"that":[17,30],"other":[18,92],"genomic":[19,40,93,125,167,203,236],"in":[21,64,124,145,201],"TCGA":[22],"besides":[23],"also":[27,170],"contain":[28],"features":[29],"can":[31,47,137,194],"be":[32,48],"utilized":[33],"to":[34,77,148],"cluster.":[35],"Thus,":[36],"by":[37],"integrating":[38],"these":[39],"data,":[41,81,126,168],"new":[42],"feature":[45],"source":[46],"formed.":[49],"As":[50],"a":[51,103,183,228],"powerful":[52],"subspace":[53],"method,":[55,99],"Low-Rank":[56,108],"Representation":[57,109],"(LRR)":[58],"delivered":[60],"an":[61],"important":[62],"breakthrough":[63],"samples.":[67],"However,":[68],"most":[69],"methods":[70],"LRR":[73,98],"are":[74],"only":[75],"employed":[76],"analyze":[78],"and":[82,186,205,230],"cannot":[83],"make":[84,149],"full":[85],"use":[86],"of":[87,91,153,165,174,198,209,219,234],"the":[88,97,121,140,146,151,154,158,162,172,196,207,217],"characteristic":[89],"information":[90],"data.":[94,237],"Based":[95],"this":[100],"paper":[101],"proposes":[102],"novel":[104],"Multi-Graph":[105],"Laplacian":[106,136],"regularized":[107],"(MGLLRR)":[110],"method":[111,233],"for":[112],"using":[116],"multi-omics":[117],"datasets.":[118],"To":[119],"preserve":[120,139],"local":[122],"geometry":[123],"multi-graph":[127,135],"regularization":[128],"is":[129,227],"led":[130],"into":[131],"MGLLRR":[132,220,226],"method.":[133],"The":[134,212],"fully":[138],"hidden":[141],"non-linear":[142],"manifold":[143],"structure":[144],"sure":[150],"smoothness":[152],"integrated":[155],"along":[157],"estimated":[159],"manifold.":[160],"Considering":[161],"noise":[163,200],"effect":[164],"different":[166,188,199],"we":[169],"introduce":[171],"idea":[173],"block":[175,185],"constraint.":[176],"We":[177],"set":[178],"each":[179],"genome":[180],"as":[182],"impose":[187],"constraint":[189],"it.":[191],"Therefore,":[192],"it":[193],"avoid":[195],"influence":[197],"multiple":[202,235],"improve":[206],"reliability":[208],"tumor":[210],"clustering.":[211,224],"experimental":[214],"results":[215],"indicate":[216],"effectiveness":[218],"And":[225],"practical":[229],"effective":[231],"analysis":[232]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}