{"id":"W1996146483","doi":"10.1142/s0219720005001314","title":"DYNAMIC MODEL-BASED CLUSTERING FOR TIME–COURSE GENE EXPRESSION DATA","year":2005,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Atomic Energy of Canada Limited; Natural Sciences and Engineering Research Council of Canada; Technische Universiteit Delft; University of Saskatchewan","keywords":"Cluster analysis; Computer science; Data mining; Bootstrapping (finance); Expression (computer science); Hierarchical clustering; Artificial intelligence; Mathematics","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":[0.002067502,0.001116228,0.001738381,0.002840484,0.001040962,0.001144164,0.002268657,0.001223286,0.0009120204],"category_scores_gemma":[0.005037877,0.00055747,0.002379358,0.002720511,0.0006920066,0.001200299,0.001007357,0.001850394,0.0006387862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938117,"about_ca_system_score_gemma":0.001583138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305398,"about_ca_topic_score_gemma":0.01092353,"domain_scores_codex":[0.998354,0.0004326621,0.00009288266,0.0005660205,0.0004457913,0.0001086795],"domain_scores_gemma":[0.9982278,0.0008934176,0.000234457,0.0002263872,0.0003505892,0.00006740601],"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":[0.0001031374,0.00009788232,0.001633516,0.0001499818,0.0001860107,0.0001082977,0.0001688613,0.8783326,0.006696936,0.01320186,0.001762686,0.09755816],"study_design_scores_gemma":[0.000003425804,0.00001142999,0.0003434237,0.00000368319,0.000009932745,0.00002480447,0.00001261046,0.9935803,0.0007084046,0.004610124,0.0006777457,0.00001403468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006289629,0.0002383594,0.9924226,0.00007971053,0.00002170247,0.00004567954,0.0001087411,0.0004813103,0.000312238],"genre_scores_gemma":[0.2833146,0.001032322,0.7087666,0.0001771804,0.00009462227,0.0006122315,0.002962238,0.0003930088,0.00264707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01305398,"threshold_uncertainty_score":0.02595598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843663717349181,"score_gpt":0.3028210396366478,"score_spread":0.284384402463156,"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."}}