{"id":"W2106606545","doi":"10.1186/1471-2105-5-201","title":"A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data","year":2004,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Repeatability; Nonparametric statistics; Set (abstract data type); Sensitivity (control systems); Computer science; Data set; Data mining; DNA microarray; Microarray analysis techniques; Algorithm; Pattern recognition (psychology); Statistics; Mathematics; Gene; Biology; Artificial intelligence; Genetics; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005216113,0.001807133,0.002061478,0.002764793,0.0007341981,0.00155627,0.002720707,0.002045649,0.002134111],"category_scores_gemma":[0.008587421,0.0008651484,0.002960341,0.00242373,0.0007284227,0.001511909,0.001466532,0.002693432,0.002460341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008990844,"about_ca_system_score_gemma":0.001617783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831219,"about_ca_topic_score_gemma":0.002903985,"domain_scores_codex":[0.9968185,0.001120528,0.0001939167,0.0008098927,0.0009017406,0.0001553529],"domain_scores_gemma":[0.9967482,0.002191084,0.0001971986,0.0002472783,0.000532625,0.00008348101],"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":[0.0007076321,0.0002493656,0.00418188,0.000468204,0.0006477556,0.0002188965,0.0002091479,0.1844885,0.03225212,0.01292688,0.006420816,0.7572288],"study_design_scores_gemma":[0.00003343955,0.00006513292,0.0007853179,0.0000181336,0.00005921542,0.0001461494,0.00001523604,0.9841808,0.003931481,0.007006735,0.003713271,0.00004505787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001012808,0.000114771,0.9980695,0.00004017464,0.00001874369,0.00002533792,0.00006678532,0.0005866801,0.00006534196],"genre_scores_gemma":[0.04092143,0.0003130408,0.9546678,0.000174658,0.0001000404,0.0005869266,0.001367263,0.0003563111,0.001512408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005216113,"threshold_uncertainty_score":0.02758574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615492341010959,"score_gpt":0.3068764359789374,"score_spread":0.2607215125688278,"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."}}