{"id":"https://openalex.org/W4383495928","doi":"https://doi.org/10.1093/bib/bbad233","title":"ProJect: a powerful mixed-model missing value imputation method","display_name":"ProJect: a powerful mixed-model missing value imputation method","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4383495928","doi":"https://doi.org/10.1093/bib/bbad233","pmid":"https://pubmed.ncbi.nlm.nih.gov/37419612"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbad233","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad233","pdf_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad233/50917406/bbad233.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"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":null,"license_id":null,"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":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad233/50917406/bbad233.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102005276","display_name":"Weijia Kong","orcid":"https://orcid.org/0009-0002-0307-6214"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weijia Kong","raw_affiliation_strings":["Nanyang Technological University Lee Kong Chian School of Medicine, , Singapore","Nanyang Technological University School of Biological Sciences, , Singapore","National University of Singapore Department of Computer Science, , Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University Lee Kong Chian School of Medicine, , Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University School of Biological Sciences, , Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"National University of Singapore Department of Computer Science, , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054409118","display_name":"Bertrand Jern Han Wong","orcid":"https://orcid.org/0000-0003-0504-0653"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bertrand Jern Han Wong","raw_affiliation_strings":["Nanyang Technological University School of Biological Sciences, , Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University School of Biological Sciences, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090984265","display_name":"Harvard Wai Hann Hui","orcid":"https://orcid.org/0000-0002-5345-3535"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Harvard Wai Hann Hui","raw_affiliation_strings":["Nanyang Technological University School of Biological Sciences, , Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University School of Biological Sciences, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101221433","display_name":"Kai Peng Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kai Peng Lim","raw_affiliation_strings":["Nanyang Technological University School of Biological Sciences, , Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University School of Biological Sciences, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661959","display_name":"Yulan Wang","orcid":"https://orcid.org/0000-0002-2831-8737"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yulan Wang","raw_affiliation_strings":["Nanyang Technological University Lee Kong Chian School of Medicine, , Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University Lee Kong Chian School of Medicine, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012381970","display_name":"Limsoon Wong","orcid":"https://orcid.org/0000-0003-1241-5441"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Limsoon Wong","raw_affiliation_strings":["National University of Singapore Department of Computer Science, , Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore Department of Computer Science, , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054040512","display_name":"Wilson Wen Bin Goh","orcid":"https://orcid.org/0000-0003-3863-7501"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Wilson Wen Bin Goh","raw_affiliation_strings":["Nanyang Technological University Center for Biomedical Informatics, , Singapore","Nanyang Technological University Lee Kong Chian School of Medicine, , Singapore","Nanyang Technological University School of Biological Sciences, , Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University Center for Biomedical Informatics, , Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University Lee Kong Chian School of Medicine, , Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University School of Biological Sciences, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012381970","https://openalex.org/A5054040512"],"corresponding_institution_ids":["https://openalex.org/I165932596","https://openalex.org/I172675005"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":1.5226,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82547582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"24","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9958000183105469,"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":0.9958000183105469,"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/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9937999844551086,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6813850402832031},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5805229544639587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5436978936195374},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.5038856863975525},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.43996164202690125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4367280900478363},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4274536669254303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40158650279045105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3956398367881775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3661051392555237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34098416566848755}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6813850402832031},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5805229544639587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5436978936195374},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.5038856863975525},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.43996164202690125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4367280900478363},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4274536669254303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40158650279045105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3956398367881775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3661051392555237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34098416566848755}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbad233","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad233","pdf_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad233/50917406/bbad233.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:37419612","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37419612","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:dr.ntu.edu.sg:10356/171093","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/171093","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1093/bib/bbad233","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad233","pdf_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad233/50917406/bbad233.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4531285500","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320320283","funder_display_name":"Imperial College London"}],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320320283","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10"},{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320332167","display_name":"Directorate for Biological Sciences","ror":"https://ror.org/001xhss06"},{"id":"https://openalex.org/F4320335736","display_name":"Lee Kong Chian School of Medicine, Nanyang Technological University","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4383495928.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1903013605","https://openalex.org/W1965806060","https://openalex.org/W1995567536","https://openalex.org/W2000403772","https://openalex.org/W2002591317","https://openalex.org/W2027136463","https://openalex.org/W2033047611","https://openalex.org/W2096192437","https://openalex.org/W2103972604","https://openalex.org/W2114933215","https://openalex.org/W2121536973","https://openalex.org/W2126111600","https://openalex.org/W2140959043","https://openalex.org/W2149024119","https://openalex.org/W2155268547","https://openalex.org/W2167942713","https://openalex.org/W2167980479","https://openalex.org/W2590976943","https://openalex.org/W2772803673","https://openalex.org/W2921655969","https://openalex.org/W2932881901","https://openalex.org/W2949148219","https://openalex.org/W2951837249","https://openalex.org/W3032989484","https://openalex.org/W3087749616","https://openalex.org/W3088521497","https://openalex.org/W3154858487","https://openalex.org/W3159880279","https://openalex.org/W3197591352","https://openalex.org/W4308605043"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"Missing":[0],"values":[1],"(MVs)":[2],"can":[3],"adversely":[4],"impact":[5],"data":[6,66,81,88],"analysis":[7,45],"and":[8,33,52,70,94,140,150,175,213,287],"machine-learning":[9],"model":[10],"development.":[11],"We":[12,59],"propose":[13],"a":[14,31,255],"novel":[15],"mixed-model":[16],"method":[17],"for":[18,27,279],"missing":[19,265,269],"value":[20],"imputation":[21,55,277,289],"(MVI).":[22],"This":[23],"method,":[24],"ProJect":[25,62,105,185,253,295],"(short":[26],"Protein":[28],"inJection),":[29],"is":[30,225,264,296],"powerful":[32],"meaningful":[34],"improvement":[35],"over":[36],"existing":[37],"MVI":[38,112,241],"methods":[39,242],"such":[40],"as":[41],"Bayesian":[42],"principal":[43],"component":[44],"(PCA),":[46],"probabilistic":[47],"PCA,":[48],"local":[49],"least":[50],"squares":[51],"quantile":[53],"regression":[54],"of":[56,154,196,232,251,294],"left-censored":[57],"data.":[58,238],"rigorously":[60],"tested":[61],"on":[63],"various":[64],"high-throughput":[65],"types,":[67],"including":[68],"genomics":[69],"mass":[71],"spectrometry":[72],"(MS)-based":[73],"proteomics.":[74],"Specifically,":[75],"we":[76],"utilized":[77],"renal":[78],"cancer":[79,86],"(RC)":[80],"acquired":[82,89],"using":[83,90],"DIA-SWATH,":[84],"ovarian":[85],"(OC)":[87],"DIA-MS,":[91],"bladder":[92],"(BladderBatch)":[93],"glioblastoma":[95],"(GBM)":[96],"microarray":[97],"gene":[98],"expression":[99],"dataset.":[100],"Our":[101],"results":[102],"demonstrate":[103],"that":[104,243,258],"consistently":[106],"performs":[107],"better":[108],"than":[109],"other":[110],"referenced":[111],"methods.":[113],"It":[114,273],"achieves":[115],"the":[116,146,151,181,189,218],"lowest":[117],"normalized":[118],"root":[119],"mean":[120],"square":[121],"error":[122,128,156,162],"(on":[123],"average,":[124],"scoring":[125],"45.92%":[126],"less":[127,161],"in":[129,132,135,138,142,163,166,170,173,177,201,204,208,211,215,236,284],"RC_C,":[130,164,202],"27.37%":[131],"RC_full,":[133],"29.22%":[134],"OC,":[136,171,209],"23.65%":[137],"BladderBatch":[139,174,212],"20.20%":[141],"GBM":[143,178,216],"relative":[144],"to":[145,180,228,246],"closest":[147],"competing":[148],"method)":[149],"Procrustes":[152],"sum":[153],"squared":[155],"(Procrustes":[157],"SS)":[158],"(exhibits":[159],"79.71%":[160],"38.36%":[165],"RC":[167,205],"full,":[168,206],"18.13%":[169],"74.74%":[172],"30.79%":[176],"compared":[179],"next":[182],"best":[183],"method).":[184,221],"also":[186],"leads":[187],"with":[188],"highest":[190],"correlation":[191],"coefficient":[192],"among":[193],"all":[194],"types":[195,231],"MV":[197,263,281],"combinations":[198],"(0.64%":[199],"higher":[200],"0.24%":[203],"0.55%":[207],"0.39%":[210],"0.27%":[214],"versus":[217],"second-best":[219],"performing":[220],"ProJect's":[222],"key":[223],"strength":[224],"its":[226],"ability":[227],"handle":[229,247],"different":[230],"MVs":[233],"commonly":[234],"found":[235],"real-world":[237],"Unlike":[239],"most":[240],"are":[244],"designed":[245],"only":[248],"one":[249],"type":[250],"MV,":[252],"employs":[254,275],"decision-making":[256],"algorithm":[257],"first":[259],"determines":[260],"if":[261],"an":[262],"at":[266,271,298],"random":[267],"or":[268],"not":[270],"random.":[272],"then":[274],"targeted":[276],"strategies":[278],"each":[280],"type,":[282],"resulting":[283],"more":[285],"accurate":[286],"reliable":[288],"outcomes.":[290],"An":[291],"R":[292],"implementation":[293],"available":[297],"https://github.com/miaomiao6606/ProJect.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}