{"id":"https://openalex.org/W7225453208","doi":"https://doi.org/10.17605/osf.io/juec6","title":"Warfarin Pharmacogenomics Dosing Cohort 500-patient","display_name":"Warfarin Pharmacogenomics Dosing Cohort 500-patient","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225453208","doi":"https://doi.org/10.17605/osf.io/juec6"},"language":"en","primary_location":{"id":"pmh:oai:share.osf.io:155b6682-048f-48fd-be6d-b6235f8b2131","doi":null,"is_oa":true,"landing_page_url":"https://osf.io/juec6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":null,"raw_type":"Project"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://osf.io/juec6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148782156","display_name":"Chekerskyi Maksym","orcid":"https://orcid.org/0009-0004-9749-4867","observed_orcids":["https://orcid.org/0009-0004-9749-4867"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maksym Chekerskyi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0004-9749-4867","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148782156"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.00019999999494757503,"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"}},{"id":"https://openalex.org/T13984","display_name":"Nutrition, Genetics, and Disease","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/warfarin","display_name":"warfarin","score":0.9139999747276306},{"id":"https://openalex.org/keywords/pharmacogenomics","display_name":"pharmacogenomics","score":0.8980000019073486},{"id":"https://openalex.org/keywords/cyp2c9","display_name":"CYP2C9","score":0.8460000157356262},{"id":"https://openalex.org/keywords/vkorc1","display_name":"VKORC1","score":0.9890000224113464},{"id":"https://openalex.org/keywords/vitamin-k-cycle","display_name":"vitamin K cycle","score":0.6769999861717224},{"id":"https://openalex.org/keywords/pharmacokinetic-modeling","display_name":"pharmacokinetic modeling","score":0.7089999914169312},{"id":"https://openalex.org/keywords/two-compartment-model","display_name":"two-compartment model","score":0.8880000114440918},{"id":"https://openalex.org/keywords/benchmark-dataset","display_name":"benchmark dataset","score":0.6639999747276306},{"id":"https://openalex.org/keywords/machine-learning-model-validation","display_name":"machine learning validation","score":0.5289999842643738},{"id":"https://openalex.org/keywords/anticoagulation","display_name":"anticoagulation","score":0.6759999990463257}],"concepts":[{"id":"https://openalex.org/C2777288759","wikidata":"https://www.wikidata.org/wiki/Q4164182","display_name":"Dosing","level":2,"score":0.8496000170707703},{"id":"https://openalex.org/C170734499","wikidata":"https://www.wikidata.org/wiki/Q1152227","display_name":"Pharmacogenomics","level":2,"score":0.8299000263214111},{"id":"https://openalex.org/C2776301958","wikidata":"https://www.wikidata.org/wiki/Q407431","display_name":"Warfarin","level":3,"score":0.823199987411499},{"id":"https://openalex.org/C3946865","wikidata":"https://www.wikidata.org/wiki/Q5014962","display_name":"CYP2C9","level":4,"score":0.6262000203132629},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6230000257492065},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C112705442","wikidata":"https://www.wikidata.org/wiki/Q323936","display_name":"Pharmacokinetics","level":2,"score":0.5254999995231628},{"id":"https://openalex.org/C111113717","wikidata":"https://www.wikidata.org/wiki/Q725307","display_name":"Pharmacodynamics","level":3,"score":0.5203999876976013},{"id":"https://openalex.org/C2776318485","wikidata":"https://www.wikidata.org/wiki/Q18045930","display_name":"VKORC1","level":5,"score":0.4578999876976013},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.44440001249313354},{"id":"https://openalex.org/C2776704044","wikidata":"https://www.wikidata.org/wiki/Q2852541","display_name":"Vitamin K antagonist","level":4,"score":0.3531000018119812},{"id":"https://openalex.org/C2778205648","wikidata":"https://www.wikidata.org/wiki/Q215118","display_name":"Anticoagulant","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C2776239304","wikidata":"https://www.wikidata.org/wiki/Q6954915","display_name":"NONMEM","level":3,"score":0.3440000116825104},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C63433958","wikidata":"https://www.wikidata.org/wiki/Q1774688","display_name":"Clinical pharmacology","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C2777501473","wikidata":"https://www.wikidata.org/wiki/Q1796666","display_name":"Body surface area","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29019999504089355},{"id":"https://openalex.org/C2780272996","wikidata":"https://www.wikidata.org/wiki/Q1261151","display_name":"Therapeutic drug monitoring","level":3,"score":0.2782000005245209},{"id":"https://openalex.org/C64903051","wikidata":"https://www.wikidata.org/wiki/Q2198549","display_name":"Drug development","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C3020081911","wikidata":"https://www.wikidata.org/wiki/Q3918988","display_name":"Serum concentration","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:share.osf.io:155b6682-048f-48fd-be6d-b6235f8b2131","doi":null,"is_oa":true,"landing_page_url":"https://osf.io/juec6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":null,"raw_type":"Project"},{"id":"doi:10.17605/osf.io/juec6","doi":"https://doi.org/10.17605/osf.io/juec6","is_oa":true,"landing_page_url":"https://doi.org/10.17605/osf.io/juec6","pdf_url":null,"source":{"id":"https://openalex.org/S7407050956","display_name":"Open Science Framework","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:share.osf.io:155b6682-048f-48fd-be6d-b6235f8b2131","doi":null,"is_oa":true,"landing_page_url":"https://osf.io/juec6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":null,"raw_type":"Project"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2061739968","https://openalex.org/W7216915859","https://openalex.org/W7037159946","https://openalex.org/W2031465187","https://openalex.org/W2348055743","https://openalex.org/W2428154411","https://openalex.org/W2042560769","https://openalex.org/W1982973803","https://openalex.org/W2921213937","https://openalex.org/W1984715426"],"abstract_inverted_index":{"The":[0,48,84],"Warfarin":[1],"Pharmacogenomics":[2],"Dosing":[3],"Cohort":[4],"(Sample)":[5],"is":[6,50,61,123,148,176],"a":[7,51,151],"synthetic,":[8],"physiologically":[9],"anchored":[10],"benchmark":[11],"dataset":[12,76,85,185],"designed":[13],"for":[14,63],"the":[15,56,71,103,178],"development":[16],"and":[17,43,60,129,186],"validation":[18],"of":[19,55,66,94,181],"machine-learning":[20],"algorithms":[21,67],"in":[22,102],"pharmacogenomic":[23],"dosing.":[24],"This":[25],"sample":[26,49],"comprises":[27],"500":[28],"patients":[29],"(WARF_00000\u2013WARF_00499),":[30],"each":[31],"observed":[32],"under":[33],"three":[34],"counterfactual":[35],"warfarin":[36,95],"dosing":[37],"strategies,":[38],"yielding":[39],"1,500":[40],"unique":[41],"regimens":[42],"361,500":[44],"longitudinal":[45],"profile":[46],"rows.":[47],"verified,":[52],"cell-identical":[53],"subset":[54],"full":[57],"10,000-patient":[58],"release,":[59],"intended":[62],"preliminary":[64],"evaluation":[65],"prior":[68],"to":[69],"accessing":[70],"complete":[72],"dataset.":[73],"Full":[74,97,171,184],"(download)":[75],"access:":[77],"https://sentineldata.com.ua/dataset/warfarin-pharmacogenomics-dosing-cohort-data-full-generator-code":[78,188],"MECHANISTIC":[79],"MODEL":[80],"&":[81],"MATHEMATICAL":[82],"FRAMEWORK":[83],"was":[86,118],"generated":[87],"using":[88],"an":[89],"explicit":[90],"mechanistic":[91],"causal":[92],"chain":[93],"pharmacology.":[96],"mathematical":[98],"specifications":[99],"are":[100],"documented":[101],"associated":[104],"technical":[105],"guide":[106],"(spec/SPEC.md).":[107],"1.1":[108],"Pharmacokinetic":[109],"Model":[110],"A":[111],"two-compartment":[112],"oral":[113],"model":[114],"with":[115,173],"first-order":[116,167],"absorption":[117],"utilized.":[119],"Individual":[120],"S-warfarin":[121],"clearance":[122],"scaled":[124],"by":[125],"CYP2C9":[126],"diplotype":[127],"(f_CYP2C9)":[128],"body":[130],"weight:":[131],"CL_i":[132],"=":[133,156],"\u03b8_CL":[134],"\u00b7":[135,137,139],"f_CYP2C9":[136],"(wt/70)^0.75":[138],"exp(\u03b7_CL)":[140],"1.2":[141],"Pharmacodynamics":[142],"(Vitamin":[143],"K":[144,164],"Cycle)":[145],"VKORC1":[146],"inhibition":[147],"modeled":[149],"via":[150],"saturable":[152],"binding":[153],"equation:":[154],"I":[155],"C_c":[157],"/":[158],"(EC50/s_VKORC1":[159],"+":[160],"C_c)":[161],"Hepatic":[162],"vitamin":[163],"stores":[165],"follow":[166],"turnover":[168],"kinetics:":[169],"...":[170],"description":[172],"all":[174],"tables":[175],"on":[177],"Wiki":[179],"page":[180],"this":[182],"project.":[183],"purchase:":[187],".":[189],"Zenodo":[190],"copy:":[191],"https://doi.org/10.5281/zenodo.22178657":[192]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-08T00:00:00"}