{"id":"https://openalex.org/W2141064379","doi":"https://doi.org/10.1093/bioinformatics/bts262","title":"Two effective methods for correcting experimental high-throughput screening data","display_name":"Two effective methods for correcting experimental high-throughput screening data","publication_year":2012,"publication_date":"2012-05-03","ids":{"openalex":"https://openalex.org/W2141064379","doi":"https://doi.org/10.1093/bioinformatics/bts262","mag":"2141064379","pmid":"https://pubmed.ncbi.nlm.nih.gov/22563067"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bts262","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bts262","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089675605","display_name":"Plamen Dragiev","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Plamen Dragiev","raw_affiliation_strings":["1 D\u00e9partement d'Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, C.P.8888, s. Centre-Ville, Montr\u00e9al, QC, H3C-3P8, 2Genome Quebec Innovation Centre, 740 Dr. Penfield Ave., Montreal, QC, H3A-1A4 and 3McGill University, Department of Human Genetics, 1205 Dr. Penfield Ave., N5/13, Montreal, QC, Canada, H3A-1B1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 D\u00e9partement d'Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, C.P.8888, s. Centre-Ville, Montr\u00e9al, QC, H3C-3P8, 2Genome Quebec Innovation Centre, 740 Dr. Penfield Ave., Montreal, QC, H3A-1A4 and 3McGill University, Department of Human Genetics, 1205 Dr. Penfield Ave., N5/13, Montreal, QC, Canada, H3A-1B1","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039347446","display_name":"Robert Nadon","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Nadon","raw_affiliation_strings":["1 D\u00e9partement d'Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, C.P.8888, s. Centre-Ville, Montr\u00e9al, QC, H3C-3P8, 2Genome Quebec Innovation Centre, 740 Dr. Penfield Ave., Montreal, QC, H3A-1A4 and 3McGill University, Department of Human Genetics, 1205 Dr. Penfield Ave., N5/13, Montreal, QC, Canada, H3A-1B1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 D\u00e9partement d'Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, C.P.8888, s. Centre-Ville, Montr\u00e9al, QC, H3C-3P8, 2Genome Quebec Innovation Centre, 740 Dr. Penfield Ave., Montreal, QC, H3A-1A4 and 3McGill University, Department of Human Genetics, 1205 Dr. Penfield Ave., N5/13, Montreal, QC, Canada, H3A-1B1","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004592090","display_name":"Vladimir Makarenkov","orcid":"https://orcid.org/0000-0003-3753-5925"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Vladimir Makarenkov","raw_affiliation_strings":["1 D\u00e9partement d'Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, C.P.8888, s. Centre-Ville, Montr\u00e9al, QC, H3C-3P8, 2Genome Quebec Innovation Centre, 740 Dr. Penfield Ave., Montreal, QC, H3A-1A4 and 3McGill University, Department of Human Genetics, 1205 Dr. Penfield Ave., N5/13, Montreal, QC, Canada, H3A-1B1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 D\u00e9partement d'Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, C.P.8888, s. Centre-Ville, Montr\u00e9al, QC, H3C-3P8, 2Genome Quebec Innovation Centre, 740 Dr. Penfield Ave., Montreal, QC, H3A-1A4 and 3McGill University, Department of Human Genetics, 1205 Dr. Penfield Ave., N5/13, Montreal, QC, Canada, H3A-1B1","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004592090"],"corresponding_institution_ids":["https://openalex.org/I159129438","https://openalex.org/I5023651"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":3.2184,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92465753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"13","first_page":"1775","last_page":"1782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.7429691553115845},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5880421996116638},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5394957661628723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5258239507675171},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4432694911956787},{"id":"https://openalex.org/keywords/systematic-error","display_name":"Systematic error","score":0.4407179355621338},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.43945297598838806},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.42800086736679077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30817723274230957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29699423909187317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23501700162887573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1543390154838562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429691553115845},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5880421996116638},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5394957661628723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5258239507675171},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4432694911956787},{"id":"https://openalex.org/C100253034","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Systematic error","level":2,"score":0.4407179355621338},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.43945297598838806},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.42800086736679077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30817723274230957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29699423909187317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23501700162887573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1543390154838562},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[{"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":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1093/bioinformatics/bts262","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bts262","pdf_url":null,"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:22563067","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22563067","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":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1991001144","https://openalex.org/W2010252114","https://openalex.org/W2020195882","https://openalex.org/W2026543586","https://openalex.org/W2030528974","https://openalex.org/W2091905199","https://openalex.org/W2097449851","https://openalex.org/W2118085282","https://openalex.org/W2128564217","https://openalex.org/W2130143129","https://openalex.org/W2154632398","https://openalex.org/W2157171383","https://openalex.org/W2159316010","https://openalex.org/W2162424885","https://openalex.org/W2166393666","https://openalex.org/W2319794630"],"related_works":["https://openalex.org/W4248881655","https://openalex.org/W3092506759","https://openalex.org/W2952736244","https://openalex.org/W2373749036","https://openalex.org/W2367545121","https://openalex.org/W2360717114","https://openalex.org/W2382928216","https://openalex.org/W2801924399","https://openalex.org/W962149676","https://openalex.org/W811092902"],"abstract_inverted_index":{"MOTIVATION:":[0],"Rapid":[1],"advances":[2],"in":[3,88,127,187,231,252],"biomedical":[4],"sciences":[5],"and":[6,29,69,100],"genetics":[7],"have":[8,78],"increased":[9],"the":[10,27,34,40,83,122,132,164,177,181,204,219,232,246,255],"pressure":[11],"on":[12,159],"drug":[13,47],"development":[14],"companies":[15],"to":[16,62,81,114,143,284],"promptly":[17],"translate":[18],"new":[19,149,197,247],"knowledge":[20,162],"into":[21],"treatments":[22],"for":[23,151,210,268],"disease.":[24],"Impelled":[25],"by":[26,31,66,131],"demand":[28],"facilitated":[30],"technological":[32,68],"progress,":[33],"number":[35,73],"of":[36,46,74,85,124,163,176,180,207,275,286],"compounds":[37],"evaluated":[38],"during":[39],"initial":[41],"high-throughput":[42],"screening":[43],"(HTS)":[44],"step":[45],"discovery":[48],"process":[49],"has":[50],"steadily":[51],"increased.":[52],"As":[53],"a":[54,139,160,173,239,264,276],"highly":[55],"automated":[56],"large-scale":[57],"process,":[58],"HTS":[59,90,156],"is":[60,120,129,228],"prone":[61],"systematic":[63,86,116,153,211,270],"error":[64,75,87,117,154,165,212],"caused":[65],"various":[67],"environmental":[70],"factors.":[71],"A":[72],"correction":[76,221],"methods":[77,126,150,198,248],"been":[79],"designed":[80],"reduce":[82],"effect":[84],"experimental":[89],"(Brideau":[91,223],"et":[92,96,104,108,189,224,260],"al.,":[93,97,105,109,225,261],"2003;":[94],"Carralot":[95],"2012;":[98],"Kevorkov":[99],"Makarenkov,":[101],"2005;":[102],"Makarenkov":[103],"2007;":[106],"Malo":[107],"2010).":[110],"Despite":[111],"their":[112],"power":[113],"correct":[115],"when":[118,141],"it":[119],"present,":[121],"applicability":[123],"those":[125,282],"practice":[128,206],"limited":[130],"fact":[133],"that":[134,195],"they":[135],"can":[136,169,249],"potentially":[137],"introduce":[138],"bias":[140],"applied":[142,251],"unbiased":[144],"data.":[145],"We":[146,192,235],"describe":[147],"two":[148],"eliminating":[152],"from":[155],"data":[157,242],"based":[158],"prior":[161],"location.":[166],"This":[167],"information":[168],"be":[170,250],"obtained":[171],"using":[172],"specific":[174],"version":[175],"t-test":[178],"or":[179],"\u03c7(2)":[182],"goodness-of-fit":[183],"test":[184],"as":[185,215,217,279,281],"discussed":[186],"Dragiev":[188],"al.":[190],"(2011).":[191],"will":[193,236,266],"show":[194],"both":[196],"constitute":[199],"an":[200],"important":[201],"improvement":[202],"over":[203,218],"standard":[205],"not":[208],"correcting":[209],"at":[213],"all":[214,273],"well":[216,280],"B-score":[220],"procedure":[222,258],"2003)":[226],"which":[227],"widely":[229],"used":[230],"modern":[233],"HTS.":[234],"also":[237],"suggest":[238],"more":[240],"general":[241],"preprocessing":[243],"framework":[244,265],"where":[245],"combination":[253],"with":[254],"Well":[256],"Correction":[257],"(Makarenkov":[259],"2007).":[262],"Such":[263],"allow":[267],"removing":[269],"biases":[271],"affecting":[272],"plates":[274],"given":[277],"screen":[278],"relative":[283],"some":[285],"its":[287],"individual":[288],"plates.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
