{"id":"https://openalex.org/W2110298216","doi":"https://doi.org/10.1093/bioinformatics/btg419","title":"Is cross-validation valid for small-sample microarray classification?","display_name":"Is cross-validation valid for small-sample microarray classification?","publication_year":2004,"publication_date":"2004-02-11","ids":{"openalex":"https://openalex.org/W2110298216","doi":"https://doi.org/10.1093/bioinformatics/btg419","mag":"2110298216","pmid":"https://pubmed.ncbi.nlm.nih.gov/14960464"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btg419","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btg419","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/20/3/374/48905209/bioinformatics_20_3_374.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"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":"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/bioinformatics/article-pdf/20/3/374/48905209/bioinformatics_20_3_374.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026990034","display_name":"Ulisses Braga-Neto","orcid":"https://orcid.org/0000-0002-1210-2173"},"institutions":[{"id":"https://openalex.org/I4210145812","display_name":"Cancer Genetics (United States)","ror":"https://ror.org/05feyya22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145812"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ulisses M. Braga-Neto","raw_affiliation_strings":["Section of Clinical Cancer Genetics, University of Texas MD Anderson Cancer Center, Houston, TX, USA","Section of Clinical Cancer Genetics#TAB#"],"affiliations":[{"raw_affiliation_string":"Section of Clinical Cancer Genetics, University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":[]},{"raw_affiliation_string":"Section of Clinical Cancer Genetics#TAB#","institution_ids":["https://openalex.org/I4210145812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112221423","display_name":"Edward R. Dougherty","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"funder","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward R. Dougherty","raw_affiliation_strings":["Department of Electrical Engineering, Texas A&M University, College Station, TX, USA","Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA and","Department of Pathology, University of Texas MD Anderson Cancer Center, Houston TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA and","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"Department of Pathology, University of Texas MD Anderson Cancer Center, Houston TX, USA","institution_ids":["https://openalex.org/I1343551460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026990034"],"corresponding_institution_ids":["https://openalex.org/I4210145812"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":13.0975,"has_fulltext":true,"cited_by_count":590,"citation_normalized_percentile":{"value":0.99435097,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":"3","first_page":"374","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9995999932289124,"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/T10885","display_name":"Gene expression and cancer classification","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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9869999885559082,"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/estimator","display_name":"Estimator","score":0.6427769660949707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6389252543449402},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5959445238113403},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.5903546810150146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5822444558143616},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5404714941978455},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5385978817939758},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4787665903568268},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.47561031579971313},{"id":"https://openalex.org/keywords/variance-inflation-factor","display_name":"Variance inflation factor","score":0.4494089186191559},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3407632112503052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33970096707344055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30254441499710083},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.18172264099121094}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6427769660949707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6389252543449402},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5959445238113403},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.5903546810150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822444558143616},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5404714941978455},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5385978817939758},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4787665903568268},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.47561031579971313},{"id":"https://openalex.org/C152732102","wikidata":"https://www.wikidata.org/wiki/Q13434396","display_name":"Variance inflation factor","level":4,"score":0.4494089186191559},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3407632112503052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33970096707344055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30254441499710083},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.18172264099121094},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"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":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005820","descriptor_name":"Genetic Testing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005820","descriptor_name":"Genetic Testing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005820","descriptor_name":"Genetic Testing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","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":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1093/bioinformatics/btg419","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btg419","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/20/3/374/48905209/bioinformatics_20_3_374.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"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":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:14960464","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/14960464","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":"Bioinformatics (Oxford, England)","raw_type":null}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btg419","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btg419","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/20/3/374/48905209/bioinformatics_20_3_374.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"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":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317673","display_name":"Translational Genomics Research Institute","ror":"https://ror.org/02hfpnk21"},{"id":"https://openalex.org/F4320337348","display_name":"National Human Genome Research Institute","ror":"https://ror.org/00baak391"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2110298216.pdf","grobid_xml":"https://content.openalex.org/works/W2110298216.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1564947197","https://openalex.org/W1680392829","https://openalex.org/W2026244209","https://openalex.org/W2040615655","https://openalex.org/W2079621390","https://openalex.org/W2117897510","https://openalex.org/W2125056473","https://openalex.org/W2128985829","https://openalex.org/W2148603752","https://openalex.org/W2153709215","https://openalex.org/W2160450758","https://openalex.org/W2966207845","https://openalex.org/W4243562335","https://openalex.org/W4250808989"],"related_works":["https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W2211931904","https://openalex.org/W2321234655","https://openalex.org/W2065444835","https://openalex.org/W3159798879","https://openalex.org/W2081076688","https://openalex.org/W2046467238","https://openalex.org/W3012415968"],"abstract_inverted_index":{"An":[0],"extensive":[1],"simulation":[2],"study":[3],"has":[4],"been":[5,52],"performed":[6],"comparing":[7],"cross-validation,":[8],"resubstitution":[9],"and":[10,21,27,42,69,71,115],"bootstrap":[11],"estimation":[12,82],"for":[13,47,98],"three":[14],"popular":[15],"classification":[16],"rules-linear":[17],"discriminant":[18],"analysis,":[19],"3-nearest-neighbor":[20],"decision":[22],"trees":[23],"(CART)-using":[24],"both":[25],"synthetic":[26],"real":[28],"breast-cancer":[29],"patient":[30],"data.":[31],"Comparison":[32],"is":[33,83],"via":[34],"the":[35,40,48],"distribution":[36,50],"of":[37,67],"differences":[38],"between":[39],"estimated":[41],"true":[43],"errors.":[44],"Various":[45],"statistics":[46],"deviation":[49],"have":[51],"computed:":[53],"mean":[54],"(for":[55,59,65],"estimator":[56,60],"bias),":[57],"variance":[58],"precision),":[61],"root-mean":[62],"square":[63],"error":[64,81],"composition":[66],"bias":[68,119],"variance)":[70],"quartile":[72],"ranges,":[73],"including":[74],"outlier":[75],"behavior.":[76],"In":[77],"general,":[78],"while":[79],"cross-validation":[80],"much":[84,121],"less":[85,122],"biased":[86],"than":[87,123],"resubstitution,":[88],"it":[89],"displays":[90],"excessive":[91],"variance,":[92,108],"which":[93],"makes":[94],"individual":[95],"estimates":[96],"unreliable":[97],"small":[99],"samples.":[100],"Bootstrap":[101],"methods":[102],"provide":[103],"improved":[104],"performance":[105],"relative":[106],"to":[107],"but":[109],"at":[110],"a":[111],"high":[112],"computational":[113],"cost":[114],"often":[116],"with":[117,124],"increased":[118],"(albeit,":[120],"resubstitution).":[125]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":34},{"year":2015,"cited_by_count":39},{"year":2014,"cited_by_count":39},{"year":2013,"cited_by_count":27},{"year":2012,"cited_by_count":32}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}