{"id":"W4200194887","doi":"10.1007/978-1-0716-1839-4_10","title":"Pathway Enrichment Analysis of Microarray Data","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Discovery Centre; University Health Network; Toronto Western Hospital","funders":"","keywords":"Pathway analysis; Microarray analysis techniques; Computational biology; Microarray databases; Biological pathway; Protocol (science); Microarray; Computer science; Biology; Gene; Genetics; Gene expression; Medicine","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":[0.001392135,0.0008377203,0.0009915314,0.003756026,0.0006732249,0.001370513,0.0005177277,0.0002365477,0.004358815],"category_scores_gemma":[0.003692151,0.0002183665,0.001546063,0.004264098,0.0002440477,0.0004876079,0.0007526446,0.0009058465,0.001311346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004879722,"about_ca_system_score_gemma":0.001259155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163144,"about_ca_topic_score_gemma":0.003279315,"domain_scores_codex":[0.9986499,0.0002947722,0.0000962053,0.000366622,0.0004007496,0.0001918065],"domain_scores_gemma":[0.9983833,0.0007864733,0.0001356407,0.0002430889,0.0003645093,0.0000869499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002371327,0.000727099,0.07377141,0.004042609,0.002688574,0.0006349858,0.0003422001,0.01391387,0.5001305,0.007923778,0.01328256,0.3801711],"study_design_scores_gemma":[0.0002491756,0.001227028,0.3339557,0.0003402095,0.002604779,0.001915341,0.0006484531,0.180975,0.3698842,0.03694862,0.07101505,0.0002364782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4652596,0.004577581,0.433782,0.001034917,0.0003590936,0.0006536628,0.07790301,0.01016024,0.006269785],"genre_scores_gemma":[0.6601402,0.002037765,0.2638931,0.0002965892,0.0001198089,0.001073296,0.06631692,0.0008188025,0.00530353],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004358815,"threshold_uncertainty_score":0.01458174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538365200655612,"score_gpt":0.3671484578717363,"score_spread":0.3417648058651802,"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."}}