{"id":"W6996755430","doi":"","title":"Statistical methods for the integration analysis of - omics data (genomics, epigenomics and transcriptomics): An application to bladder cancer","year":2015,"lang":"en","type":"dissertation","venue":"Open Repository and Bibliography (University of Liège)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Health; Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute; Universitätsklinikum Hamburg-Eppendorf; Instituto de Salud Carlos III; Medical Research Council; Canadian Institutes of Health Research; University of California, Irvine; Rheinische Friedrich-Wilhelms-Universität Bonn; Ministero dello Sviluppo Economico; National Health and Medical Research Council; Institut National Du Cancer; Beckman Research Institute, City of Hope; University of Southern California; Cancer Research UK; Herlev Hospital; Ministerio de Economía y Competitividad; Belgian Federal Science Policy Office; Fonds De La Recherche Scientifique - FNRS; Breast Cancer Research Trust; Sundhed og Sygdom, Det Frie Forskningsråd; Fondation de France; Deutsches Krebsforschungszentrum; Ligue Contre le Cancer; National Institute for Health and Care Research; Ministère du Développement Économique, de l’Innovation et de l’Exportation; McGill University; Ministry of Public Health; CHIST-ERA; Agence Nationale de la Recherche; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Virginia Department of Health; National Institutes of Health; Deutsche Gesetzliche Unfallversicherung; Ovarian Cancer Research Fund; European Commission; Breast Cancer Research Foundation","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Triacetin; Liquation; Diafiltration; Durvalumab; Emperipolesis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03252812,0.001997157,0.002212683,0.004803455,0.001561019,0.003238928,0.002733637,0.001243819,0.007314811],"category_scores_gemma":[0.0797963,0.001197832,0.004660805,0.00676331,0.001420039,0.001605035,0.00314068,0.004878122,0.002722424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188743,"about_ca_system_score_gemma":0.00423092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005361107,"about_ca_topic_score_gemma":0.005728359,"domain_scores_codex":[0.9817707,0.01292027,0.001486815,0.001310945,0.002288892,0.0002224329],"domain_scores_gemma":[0.8999788,0.08914103,0.002571084,0.003555252,0.004097621,0.0006561148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008129372,0.0003359238,0.01635107,0.002498482,0.004764847,0.0006181637,0.0009686317,0.03924556,0.006886684,0.04817429,0.06168361,0.8176597],"study_design_scores_gemma":[0.0006322663,0.0005620308,0.02784672,0.0007880546,0.001473604,0.001101956,0.000631367,0.6426379,0.007070938,0.240342,0.07656027,0.0003528463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002697696,0.001125265,0.9875342,0.0007511125,0.0002214742,0.0002341771,0.001799249,0.005241573,0.0003952246],"genre_scores_gemma":[0.0232842,0.000961409,0.968854,0.0002414186,0.0002394257,0.00150231,0.002020105,0.00199219,0.0009049491],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03252812,"threshold_uncertainty_score":0.1720272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05052550728899957,"score_gpt":0.3816066343509538,"score_spread":0.3310811270619543,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}