{"id":"W2562192001","doi":"10.1186/s12859-016-1387-9","title":"Prior knowledge guided eQTL mapping for identifying candidate genes","year":2016,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Computational biology; DNA microarray; Expression quantitative trait loci; Gene; Biology; Genetics; Candidate gene; Gene expression; Single-nucleotide polymorphism; Genotype","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":[0.004502571,0.001203882,0.001059918,0.002001699,0.0005962842,0.0009461241,0.001627952,0.001192357,0.00332826],"category_scores_gemma":[0.01332008,0.0005580726,0.002080813,0.001044379,0.001124662,0.001192391,0.001485835,0.001639203,0.0003752386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349433,"about_ca_system_score_gemma":0.00151062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005985321,"about_ca_topic_score_gemma":0.004817297,"domain_scores_codex":[0.9982937,0.0006480128,0.00008740674,0.0005032704,0.0003415719,0.0001261694],"domain_scores_gemma":[0.987094,0.01118891,0.0005379647,0.0004362295,0.0005998371,0.0001430247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000497099,0.0001775364,0.02559829,0.0002994982,0.0004327306,0.0007298482,0.0003207803,0.8468719,0.01146839,0.01409202,0.001005684,0.09850621],"study_design_scores_gemma":[0.00005453554,0.00005057826,0.002348333,0.00002379509,0.0001106111,0.0001003305,0.00002793956,0.9805798,0.003039578,0.01305602,0.0005848165,0.00002362737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06903446,0.0003311656,0.9280637,0.0003417996,0.00001973246,0.00007119931,0.0004565961,0.000710948,0.0009703494],"genre_scores_gemma":[0.7421682,0.0002415639,0.2542023,0.0003516809,0.00003931324,0.0002849735,0.001480368,0.0001377945,0.001093832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005985321,"threshold_uncertainty_score":0.02381212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08867604310489179,"score_gpt":0.2864843301914792,"score_spread":0.1978082870865874,"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."}}