{"id":"W2074629998","doi":"10.1109/bibmw.2010.5703769","title":"Association network modeling from microarray data around fermentation stress response gene NSF1 (YPL230W) using significantly co-expressed gene set","year":2010,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Saccharomyces cerevisiae; Gene; Microarray analysis techniques; Biology; Microarray; Gene expression; Gene regulatory network; Genetics; Gene cluster; DNA microarray; Cluster analysis; Function (biology); Computational biology; Gene expression profiling; Computer science; Artificial intelligence","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":[0.001652739,0.0006863477,0.0006469696,0.001231793,0.0005751873,0.0007581074,0.000785986,0.0007901019,0.001314269],"category_scores_gemma":[0.004314534,0.000424462,0.001364933,0.00137507,0.0003773256,0.0006881081,0.0005081531,0.0009925389,0.0002657801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008966693,"about_ca_system_score_gemma":0.000886252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348277,"about_ca_topic_score_gemma":0.01598994,"domain_scores_codex":[0.9993232,0.0002989945,0.00002707523,0.0002294171,0.00006287691,0.00005842212],"domain_scores_gemma":[0.9973911,0.00205993,0.0001962102,0.0001360208,0.0001511877,0.000065527],"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":[0.0002138433,0.0001067269,0.009670415,0.00004306379,0.0001497258,0.0001255508,0.00005747336,0.9735017,0.001575904,0.002775133,0.0004504608,0.01132992],"study_design_scores_gemma":[0.000004886267,0.00001122115,0.000985796,0.000001280075,0.00001274554,0.00001250281,0.000005498694,0.9970825,0.0001559216,0.001618252,0.0001069113,0.000002447773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5673748,0.0004205033,0.4272512,0.00060805,0.00004146887,0.0001235582,0.002619737,0.0007294145,0.0008311954],"genre_scores_gemma":[0.921727,0.0003137805,0.07132639,0.0000554117,0.0000419483,0.0002589133,0.0044974,0.00004791287,0.001731249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348277,"threshold_uncertainty_score":0.02680862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166877100449446,"score_gpt":0.2837957472145334,"score_spread":0.252126976210039,"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."}}