{"id":"W3194109983","doi":"10.1101/2021.08.21.457202","title":"RNA-Seq is not required to determine stable reference genes for qPCR normalization","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Université de Paris; Centre National de la Recherche Scientifique; UK Dementia Research Institute; Institut National de la Santé et de la Recherche Médicale; King's College London","keywords":"Reference genes; Normalization (sociology); Gene; RNA-Seq; Biology; Computational biology; Database normalization; RNA; Gene expression; Genetics; Computer science; Transcriptome; Artificial intelligence","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":[0.005694281,0.001507494,0.00209899,0.001357447,0.001185129,0.002019476,0.00154416,0.001346741,0.006539798],"category_scores_gemma":[0.00902123,0.001208824,0.001379352,0.001688551,0.002011092,0.0009627398,0.001200865,0.003058388,0.00730039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009261761,"about_ca_system_score_gemma":0.002108412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008379108,"about_ca_topic_score_gemma":0.002802448,"domain_scores_codex":[0.991707,0.001454843,0.0006668671,0.002638313,0.003012991,0.0005199506],"domain_scores_gemma":[0.9943812,0.001889308,0.000543716,0.001586131,0.001491345,0.000108271],"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":[0.0001346733,0.00007391957,0.000759042,0.0005769643,0.00005021262,0.0000797192,0.0001529273,0.0008205688,0.9777916,0.002566481,0.002322905,0.01467107],"study_design_scores_gemma":[0.00002112365,0.0001172487,0.002442489,0.00007877736,0.00005946893,0.0001281694,0.00005094191,0.003811534,0.9605909,0.001808691,0.03084657,0.0000441412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04848142,0.00142662,0.9189011,0.0004859735,0.001424915,0.001218552,0.01033423,0.008365364,0.009361789],"genre_scores_gemma":[0.1342071,0.001743444,0.811671,0.001693913,0.0003046902,0.006339709,0.02134379,0.009118361,0.0135779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006539798,"threshold_uncertainty_score":0.03011459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729799453689298,"score_gpt":0.2629476825035567,"score_spread":0.2356496879666637,"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."}}