{"id":"W3006143259","doi":"10.1186/s12864-019-6426-2","title":"Custom selected reference genes outperform pre-defined reference genes in transcriptomic analysis","year":2020,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Reference genes; Biology; Gene; Genetics; Transcriptome; Computational biology; DNA microarray; Gene expression; Candidate gene; Gene expression profiling","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":[0.005501074,0.001853064,0.001631483,0.001709736,0.0007487818,0.001778098,0.001387921,0.001305319,0.003646704],"category_scores_gemma":[0.007518401,0.0006551928,0.001786316,0.002410698,0.001123791,0.001047313,0.001344751,0.001705425,0.002197519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326243,"about_ca_system_score_gemma":0.001528634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009765732,"about_ca_topic_score_gemma":0.002430543,"domain_scores_codex":[0.9937028,0.0008562768,0.0003949418,0.002931707,0.001773746,0.0003403949],"domain_scores_gemma":[0.9964955,0.001493976,0.0005478603,0.000497211,0.0008583648,0.0001069771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006500037,0.000225485,0.009229403,0.00160873,0.0001951909,0.0002308683,0.0003172886,0.004165146,0.8863363,0.002187346,0.002756669,0.09209759],"study_design_scores_gemma":[0.00008615012,0.000504413,0.03077056,0.0002251862,0.0004228879,0.0006335807,0.0001483445,0.03175125,0.9023378,0.002858568,0.03009944,0.0001618368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.159178,0.003822781,0.814688,0.0003410595,0.0004683032,0.0008034916,0.006086692,0.01093432,0.003677379],"genre_scores_gemma":[0.2104501,0.001207574,0.7701398,0.0005148997,0.00009826094,0.001551041,0.009643129,0.003068456,0.003326826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005501074,"threshold_uncertainty_score":0.02909285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841950582247336,"score_gpt":0.2639272559162895,"score_spread":0.2355077500938161,"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."}}