{"id":"W2995791792","doi":"10.1186/s12859-019-3221-7","title":"Longitudinal linear combination test for gene set analysis","year":2019,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Alberta","funders":"","keywords":"DNA microarray; Computational biology; Set (abstract data type); Test (biology); Genetics; Biology; Gene; Computer science; Gene expression; Programming language","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":[0.03712484,0.001758483,0.003567636,0.004369241,0.002067216,0.002173285,0.004215132,0.002216375,0.01668721],"category_scores_gemma":[0.1372763,0.000691699,0.004393018,0.003954173,0.002812063,0.002626366,0.00216802,0.005299491,0.002211538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835506,"about_ca_system_score_gemma":0.003466369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436647,"about_ca_topic_score_gemma":0.001519983,"domain_scores_codex":[0.9492199,0.03543678,0.001610423,0.00765761,0.004947327,0.001127877],"domain_scores_gemma":[0.7884771,0.1899635,0.006184057,0.007622118,0.005921467,0.001831732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01315596,0.00223309,0.2380032,0.001904631,0.01157426,0.002756335,0.0007566645,0.1459442,0.006868451,0.04388469,0.02639263,0.5065259],"study_design_scores_gemma":[0.0006490113,0.003364039,0.02445714,0.0001048368,0.0007925991,0.0006801545,0.0002479408,0.9237813,0.00305273,0.03711217,0.005587054,0.0001709641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09080429,0.0009523262,0.8956719,0.001150199,0.0006681293,0.00125513,0.003918378,0.003308329,0.002271311],"genre_scores_gemma":[0.6448858,0.0002662223,0.3396757,0.0005501849,0.0005414041,0.005277945,0.005906919,0.0004580202,0.002437735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03712484,"threshold_uncertainty_score":0.1963373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564994100882009,"score_gpt":0.2863662282998972,"score_spread":0.2607162872910771,"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."}}