{"id":"W2056658567","doi":"10.1371/journal.pone.0041694","title":"Multiple Regression Methods Show Great Potential for Rare Variant Association Tests","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; GlaxoSmithKline","keywords":"Lasso (programming language); Regression; Feature selection; Elastic net regularization; Regression analysis; Computational biology; Partial least squares regression; Biology; Genetics; Computer science; Statistics; Artificial intelligence; Mathematics; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02369354,0.001888648,0.002679141,0.002437599,0.0004151153,0.001524465,0.001797275,0.00171172,0.003933335],"category_scores_gemma":[0.07938763,0.00104013,0.002285532,0.00295536,0.001191339,0.00139652,0.001804726,0.003985808,0.002165585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244451,"about_ca_system_score_gemma":0.0008987294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511383,"about_ca_topic_score_gemma":0.001312438,"domain_scores_codex":[0.9806464,0.01597427,0.0004169921,0.001296761,0.001499902,0.0001657915],"domain_scores_gemma":[0.9055994,0.08741272,0.002396704,0.003122566,0.001188155,0.0002804221],"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":[0.0006798434,0.0003175875,0.03144974,0.001231743,0.003713756,0.0007566447,0.0002847831,0.2837253,0.005281196,0.08168543,0.009893484,0.5809805],"study_design_scores_gemma":[0.0002488279,0.0004456084,0.009321732,0.0002325209,0.0003620967,0.0006157782,0.00009330995,0.8151271,0.003130572,0.1504091,0.01981427,0.0001991104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00544775,0.002381523,0.9889393,0.0007878246,0.000153107,0.00007294206,0.0003559864,0.0008882341,0.0009732394],"genre_scores_gemma":[0.2088026,0.005014372,0.7793181,0.0008066309,0.0006553824,0.0008125459,0.0009118213,0.0007499246,0.002928544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02369354,"threshold_uncertainty_score":0.1253049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881338527732179,"score_gpt":0.3151524082988412,"score_spread":0.2663390230215193,"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."}}