{"id":"https://openalex.org/W2072374945","doi":"https://doi.org/10.1186/1471-2105-12-222","title":"Kernel density weighted loess normalization improves the performance of detection within asymmetrical data","display_name":"Kernel density weighted loess normalization improves the performance of detection within asymmetrical data","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2072374945","doi":"https://doi.org/10.1186/1471-2105-12-222","mag":"2072374945","pmid":"https://pubmed.ncbi.nlm.nih.gov/21631915"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-12-222","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-222","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-222","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-222","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075312735","display_name":"Wen\u2010Ping Hsieh","orcid":"https://orcid.org/0000-0003-0006-6635"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Ping Hsieh","raw_affiliation_strings":["Institute of Statistics, National Tsing Hua University, Hsin-Chu City, 300, Taiwan. wphsieh@stat.nthu.edu.tw","Institute of Statistics, National Tsing Hua University, Hsin-Chu City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics, National Tsing Hua University, Hsin-Chu City, 300, Taiwan. wphsieh@stat.nthu.edu.tw","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Statistics, National Tsing Hua University, Hsin-Chu City, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111899582","display_name":"Tzu\u2010Ming Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tzu-Ming Chu","raw_affiliation_strings":["SAS Institute Inc., Cary, NC, 27513, USA","SAS Institute Inc., Cary, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAS Institute Inc., Cary, NC, 27513, USA","institution_ids":["https://openalex.org/I122754148"]},{"raw_affiliation_string":"SAS Institute Inc., Cary, USA#TAB#","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030223507","display_name":"Yu\u2010Min Lin","orcid":"https://orcid.org/0000-0002-7904-8466"},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Min Lin","raw_affiliation_strings":["SAS Institute Inc., Cary, NC, 27513, USA","SAS Institute Inc., Cary, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAS Institute Inc., Cary, NC, 27513, USA","institution_ids":["https://openalex.org/I122754148"]},{"raw_affiliation_string":"SAS Institute Inc., Cary, USA#TAB#","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111713789","display_name":"Russell D. Wolfinger","orcid":null},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Russell D Wolfinger","raw_affiliation_strings":["SAS Institute Inc., Cary, NC, 27513, USA","SAS Institute Inc., Cary, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAS Institute Inc., Cary, NC, 27513, USA","institution_ids":["https://openalex.org/I122754148"]},{"raw_affiliation_string":"SAS Institute Inc., Cary, USA#TAB#","institution_ids":["https://openalex.org/I122754148"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.5323,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66027399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"1","first_page":"222","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9128999710083008,"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":0.9128999710083008,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.014800000004470348,"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":0.014000000432133675,"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/normalization","display_name":"Normalization (sociology)","score":0.7588953971862793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5388222932815552},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49445009231567383},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.472512811422348},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43836066126823425},{"id":"https://openalex.org/keywords/scatter-plot","display_name":"Scatter plot","score":0.4325658977031708},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43221575021743774},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.4182612895965576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39083749055862427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3905586898326874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38583964109420776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37906432151794434},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.27308815717697144},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.26439139246940613},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2595440149307251},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.21108627319335938},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1726512610912323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16059422492980957}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7588953971862793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5388222932815552},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49445009231567383},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.472512811422348},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43836066126823425},{"id":"https://openalex.org/C31462909","wikidata":"https://www.wikidata.org/wiki/Q1045782","display_name":"Scatter plot","level":2,"score":0.4325658977031708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43221575021743774},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.4182612895965576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39083749055862427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3905586898326874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38583964109420776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37906432151794434},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.27308815717697144},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.26439139246940613},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2595440149307251},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.21108627319335938},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1726512610912323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16059422492980957},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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":"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":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"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":4,"locations":[{"id":"doi:10.1186/1471-2105-12-222","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-222","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-222","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:21631915","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21631915","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:5e7acf0e342841b293a1c9793c051cd6","is_oa":false,"landing_page_url":"https://doaj.org/article/5e7acf0e342841b293a1c9793c051cd6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 12, Iss 1, p 222 (2011)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3118355","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3118355","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-12-222","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-222","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-222","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2072374945.pdf","grobid_xml":"https://content.openalex.org/works/W2072374945.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1498486940","https://openalex.org/W1570746489","https://openalex.org/W1708068686","https://openalex.org/W1896700803","https://openalex.org/W1943548283","https://openalex.org/W1980460692","https://openalex.org/W1980617311","https://openalex.org/W1983126247","https://openalex.org/W1991624307","https://openalex.org/W2008152270","https://openalex.org/W2011548242","https://openalex.org/W2031739742","https://openalex.org/W2057112074","https://openalex.org/W2076889248","https://openalex.org/W2109453886","https://openalex.org/W2110480967","https://openalex.org/W2111576144","https://openalex.org/W2120682915","https://openalex.org/W2120865735","https://openalex.org/W2120965285","https://openalex.org/W2138845988","https://openalex.org/W2140774750","https://openalex.org/W2141407136","https://openalex.org/W2152813678","https://openalex.org/W2170989872","https://openalex.org/W2313383114","https://openalex.org/W3143625801"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W4321441197","https://openalex.org/W2359348847","https://openalex.org/W4294432981","https://openalex.org/W2096302356"],"abstract_inverted_index":{"BACKGROUND:":[0],"Normalization":[1],"of":[2,23,35,41,72,98,125,198],"gene":[3],"expression":[4,205],"data":[5,112,159],"has":[6],"been":[7,16],"studied":[8],"for":[9,207],"many":[10],"years":[11],"and":[12,38,85,164,168],"various":[13,21,108],"strategies":[14],"have":[15],"formulated":[17],"to":[18,92,106,111,119,122,194,211],"deal":[19],"with":[20,157,172],"types":[22],"data.":[24],"Most":[25],"normalization":[26],"algorithms":[27],"rely":[28],"on":[29,88,114,188],"the":[30,33,39,46,49,70,95,115,123,126,130,150,161,175,196],"assumption":[31,131],"that":[32,132,141,185],"number":[34,40],"up-regulated":[36],"genes":[37,43,62,128,134],"down-regulated":[42],"are":[44,63,135,142,191],"roughly":[45],"same.":[47],"However,":[48],"well-known":[50],"Golden":[51,151],"Spike":[52,152],"experiment":[53,153],"presents":[54],"a":[55,212],"unique":[56],"situation":[57],"in":[58,149,170],"which":[59],"differentially":[60,143],"regulated":[61],"biased":[64],"toward":[65],"one":[66],"direction,":[67],"thereby":[68],"challenging":[69],"conclusions":[71],"previous":[73],"bench":[74],"mark":[75],"studies.":[76],"RESULTS:":[77],"This":[78,182],"study":[79,183],"proposes":[80],"two":[81],"novel":[82],"approaches,":[83],"KDL":[84,167],"KDQ,":[86],"based":[87,187],"kernel":[89],"density":[90],"estimation":[91],"improve":[93],"upon":[94],"basic":[96],"idea":[97],"invariant":[99,189],"set":[100],"selection.":[101],"The":[102,145],"key":[103],"concept":[104],"is":[105,147],"provide":[107],"importance":[109],"scores":[110],"points":[113],"MA":[116],"plot":[117],"according":[118],"their":[120],"proximity":[121],"cluster":[124],"null":[127,133],"under":[129],"more":[136],"densely":[137],"distributed":[138],"than":[139],"those":[140],"regulated.":[144],"comparison":[146],"demonstrated":[148],"as":[154,156],"well":[155],"simulation":[158],"using":[160],"ROC":[162],"curves":[163],"compression":[165],"rates.":[166],"KDQ":[169],"combination":[171],"GCRMA":[173],"provided":[174],"best":[176],"performance":[177,210],"among":[178],"all":[179],"approaches.":[180],"CONCLUSIONS:":[181],"determined":[184],"methods":[186],"sets":[190],"better":[192],"able":[193],"resolve":[195],"problem":[197],"asymmetry.":[199],"Normalization,":[200],"either":[201],"before":[202],"or":[203],"after":[204],"summary":[206],"probesets,":[208],"improves":[209],"similar":[213],"degree.":[214]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}