{"id":"W2110350344","doi":"10.1093/nar/gkt338","title":"INMEX—a web-based tool for integrative meta-analysis of expression data","year":2013,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"KEGG; Visualization; Data visualization; Microarray databases; Annotation; Data mining; Computer science; Data integration; Identifier; Web application; Biology; Biological data; Gene expression profiling; Information retrieval; Bioinformatics; Gene ontology; World Wide Web; Gene; Gene expression; Genetics","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":[0.01097565,0.004172609,0.002901833,0.007010763,0.0008197536,0.002908955,0.004120144,0.001101703,0.02483222],"category_scores_gemma":[0.0106036,0.002191002,0.005098534,0.004507049,0.0005515842,0.0024512,0.004797379,0.002846351,0.007743374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074472,"about_ca_system_score_gemma":0.002297354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934668,"about_ca_topic_score_gemma":0.002827988,"domain_scores_codex":[0.9966264,0.001041104,0.0004632946,0.0007889945,0.0009268557,0.0001533735],"domain_scores_gemma":[0.9933028,0.00459,0.0005568552,0.0009485697,0.000371228,0.000230526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004615903,0.0008951609,0.03069217,0.01428004,0.0229599,0.003646163,0.002254445,0.03097276,0.06556855,0.03214585,0.3975228,0.3944463],"study_design_scores_gemma":[0.001877547,0.0006893011,0.03808679,0.002015514,0.005520371,0.002369482,0.0005021544,0.1701554,0.0726617,0.08243765,0.6228675,0.0008166261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005623373,0.001454332,0.55358,0.0004691436,0.0002906395,0.0005424745,0.1202494,0.313773,0.004017615],"genre_scores_gemma":[0.03905055,0.00149624,0.7250602,0.0009078099,0.0002241202,0.004322872,0.1874506,0.03787426,0.003613366],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02483222,"threshold_uncertainty_score":0.08307207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1720002399639334,"score_gpt":0.4150088590377898,"score_spread":0.2430086190738564,"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."}}