{"id":"W1970100937","doi":"10.1016/j.gene.2012.02.001","title":"Bioinformatic selection of putative epigenetically regulated loci associated with obesity using gene expression data","year":2012,"lang":"en","type":"article","venue":"Gene","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Fonds Québécois de la Recherche sur la Nature et les Technologies; Newcastle University; Canadian Institutes of Health Research; Université Laval","keywords":"Biology; Epigenetics; Genetics; Candidate gene; Gene; DNA methylation; Promoter; DNA microarray; Computational biology; In silico; Phenotype; Bioinformatics; Gene expression","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":[0.000457085,0.0003406181,0.0003890004,0.001468922,0.0004027034,0.0004493248,0.0003457723,0.0002269168,0.003138923],"category_scores_gemma":[0.0006851017,0.0001700395,0.000591473,0.0009311927,0.0001751019,0.000141021,0.00024397,0.0004418715,0.0005642177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906153,"about_ca_system_score_gemma":0.0004089462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100394,"about_ca_topic_score_gemma":0.003037708,"domain_scores_codex":[0.9997922,0.00003841532,0.00001757956,0.00007808831,0.00004131188,0.00003244611],"domain_scores_gemma":[0.9995072,0.0002642086,0.00007725875,0.00002741733,0.00005530583,0.00006871705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001938446,0.0002386208,0.09959345,0.000389568,0.0003082248,0.00108926,0.0001290648,0.00376319,0.8351962,0.0008793114,0.001540796,0.05493379],"study_design_scores_gemma":[0.0003363832,0.0006954089,0.5398859,0.00006705507,0.001059337,0.00288005,0.0004186817,0.1327703,0.3069937,0.002586734,0.01221059,0.0000958552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251555,0.0005803612,0.06160444,0.0002572002,0.00004319038,0.0001137412,0.00904828,0.001545202,0.00165209],"genre_scores_gemma":[0.9145745,0.0001842828,0.07039103,0.0001512446,0.00003092571,0.0001248271,0.01301067,0.000180992,0.001351519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003138923,"threshold_uncertainty_score":0.01050079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146989611860548,"score_gpt":0.280040253381788,"score_spread":0.2485703572631825,"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."}}