{"id":"W2154496386","doi":"10.1186/s12859-015-0770-2","title":"Whole genome SNP genotype piecemeal imputation","year":2015,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Imputation (statistics); SNP; Genotype; Single-nucleotide polymorphism; Biology; Genome-wide association study; SNP genotyping; Computational biology; Genetics; Statistics; Computer science; Mathematics; Missing data; Gene","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":[0.006317594,0.0011251,0.002124315,0.001134327,0.0007396565,0.001414956,0.003994938,0.00225887,0.008602354],"category_scores_gemma":[0.01591959,0.0008313048,0.002983779,0.003185504,0.000828578,0.00138493,0.0017679,0.002902593,0.004098693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006336648,"about_ca_system_score_gemma":0.001043972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669119,"about_ca_topic_score_gemma":0.00466887,"domain_scores_codex":[0.9946784,0.002309708,0.0002141362,0.001695679,0.0008809827,0.00022111],"domain_scores_gemma":[0.9852874,0.006698576,0.001191797,0.005146817,0.001461862,0.0002135285],"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":[0.003268512,0.0005346641,0.100385,0.001911623,0.005327285,0.001390351,0.000733172,0.3029857,0.04421666,0.02275808,0.04853825,0.4679507],"study_design_scores_gemma":[0.0003873962,0.0007815994,0.06885905,0.0002917629,0.001460574,0.002028172,0.0001467006,0.7596235,0.04233275,0.06327605,0.06047163,0.0003408222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02510823,0.0006808292,0.9650192,0.0003096932,0.0001301578,0.0001001043,0.004024222,0.003058324,0.001569228],"genre_scores_gemma":[0.2112326,0.0004928773,0.7607105,0.0008350894,0.0001551121,0.0005396958,0.01985452,0.0008975299,0.005282142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008602354,"threshold_uncertainty_score":0.03341109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597789474738615,"score_gpt":0.2812938896453417,"score_spread":0.2453159948979555,"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."}}