{"id":"W2069230139","doi":"10.1016/j.ygeno.2014.03.001","title":"YuGene: A simple approach to scale gene expression data derived from different platforms for integrated analyses","year":2014,"lang":"en","type":"article","venue":"Genomics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Wound Management Innovation Cooperative Research Centre; Australian Research Council; Stem Cells Australia; MetLife Foundation","keywords":"Normalization (sociology); Identifier; Quantile; Data mining; Computer science; Database normalization; Biology; Statistics; Mathematics; Artificial intelligence; Pattern recognition (psychology)","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":[0.001589167,0.002019757,0.001744551,0.002315172,0.0008236705,0.001705707,0.001517927,0.001231093,0.006847288],"category_scores_gemma":[0.00273828,0.001675144,0.001546585,0.001691547,0.0006308919,0.00139171,0.00276025,0.002123701,0.004598259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339152,"about_ca_system_score_gemma":0.0008772923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086717,"about_ca_topic_score_gemma":0.002723817,"domain_scores_codex":[0.9985843,0.0001307707,0.0001290478,0.0003656958,0.000649076,0.0001411537],"domain_scores_gemma":[0.9984623,0.0006087894,0.0001326891,0.0005164536,0.0001757292,0.0001040524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279832,0.0002135456,0.004859363,0.0006129123,0.0005235415,0.0005958402,0.0003548667,0.00195488,0.8495345,0.005134057,0.03038763,0.1045489],"study_design_scores_gemma":[0.0002963755,0.0004048406,0.01446208,0.00008916567,0.000352592,0.001729155,0.0001167485,0.03911595,0.8174808,0.009821679,0.1158048,0.0003257775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02817471,0.0003013042,0.8300942,0.0002131359,0.0003706911,0.0005766634,0.01512559,0.1222702,0.002873623],"genre_scores_gemma":[0.09300539,0.0003708181,0.8526589,0.0005501671,0.0001372948,0.003198417,0.02252859,0.02152812,0.006022305],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006847288,"threshold_uncertainty_score":0.02290648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06888816577712498,"score_gpt":0.3154729714990017,"score_spread":0.2465848057218767,"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."}}