{"id":"W1964215490","doi":"10.1142/9789812704856_0054","title":"MODELING GENE EXPRESSION FROM MICROARRAY EXPRESSION DATA WITH STATE-SPACE EQUATIONS","year":2003,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Expression (computer science); State variable; State space; State (computer science); Computer science; Gene expression; Bayesian information criterion; State-space representation; Gene; Mathematics; Algorithm; Biology; Artificial intelligence; Statistics; Genetics; Physics","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":[0.001214589,0.0009538411,0.001012645,0.0006807996,0.0003318292,0.0009932852,0.001181118,0.001065929,0.001366339],"category_scores_gemma":[0.002669104,0.0006640305,0.001550426,0.001032235,0.0006216511,0.000996265,0.0005890106,0.001732743,0.0004666114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036075,"about_ca_system_score_gemma":0.00108235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048967,"about_ca_topic_score_gemma":0.011189,"domain_scores_codex":[0.9994419,0.0001805685,0.00004054858,0.0001497322,0.0001454875,0.00004182923],"domain_scores_gemma":[0.9987525,0.0009618771,0.0001212776,0.00006188396,0.00008457003,0.00001786666],"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":[0.00003835149,0.00003285352,0.001137592,0.00007772109,0.00008070993,0.00005826944,0.00006258026,0.963041,0.004313087,0.01606052,0.0003374208,0.01475987],"study_design_scores_gemma":[0.000004266563,0.000008468962,0.0001982039,0.000002685635,0.000009566181,0.00001005534,0.000002637435,0.9927417,0.0005878005,0.005816452,0.0006099886,0.000008225058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007051962,0.0001643579,0.9914129,0.000118436,0.00002046411,0.00003530806,0.0002881151,0.0003977605,0.0005107662],"genre_scores_gemma":[0.3847942,0.001351933,0.602977,0.0002054904,0.0001340608,0.001412904,0.002064039,0.0001801252,0.006880308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01048967,"threshold_uncertainty_score":0.02085721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654210658871324,"score_gpt":0.2736676641808078,"score_spread":0.2371255575920946,"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."}}