{"id":"W4388421410","doi":"10.1002/cpz1.922","title":"Using ExpressAnalyst for Comprehensive Gene Expression Analysis in Model and Non‐Model Organisms","year":2023,"lang":"en","type":"review","venue":"Current Protocols","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Normalization (sociology); Computer science; DNA microarray; Computational biology; Gene expression profiling; Protocol (science); Data mining; Biology; Gene expression; Gene; Genetics","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":[0.004307583,0.001843373,0.002266908,0.002822652,0.001621413,0.002997981,0.002238738,0.001124094,0.01779225],"category_scores_gemma":[0.003987211,0.002349402,0.002795399,0.002647699,0.0008884303,0.002381223,0.002991529,0.004486437,0.01969374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168727,"about_ca_system_score_gemma":0.002339223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002078314,"about_ca_topic_score_gemma":0.00379853,"domain_scores_codex":[0.9963884,0.0005249718,0.0004323546,0.000889312,0.001507665,0.000257291],"domain_scores_gemma":[0.9982405,0.0006186099,0.0001674968,0.0005106335,0.0003681812,0.0000945306],"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":[0.0009134392,0.0002198848,0.002398951,0.002679023,0.0003887258,0.0004372559,0.0007035332,0.004074731,0.8251879,0.009436247,0.07404401,0.07951624],"study_design_scores_gemma":[0.0001671053,0.0002742633,0.005750308,0.0003673569,0.0002246592,0.0004742943,0.0001348371,0.02045839,0.6770416,0.008286909,0.2865756,0.0002446755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01901048,0.001390203,0.7631007,0.0006260814,0.0004612098,0.001725804,0.1114554,0.08978647,0.01244363],"genre_scores_gemma":[0.02869056,0.001635071,0.789238,0.0007845772,0.0001006181,0.01037484,0.1267826,0.02738652,0.01500714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01779225,"threshold_uncertainty_score":0.05952102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3314926684703848,"score_gpt":0.4855769779477269,"score_spread":0.154084309477342,"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."}}