{"id":"W2509659139","doi":"10.1186/s12864-016-2946-1","title":"A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases","year":2016,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universidade Federal do Rio de Janeiro; Fundação Oswaldo Cruz; Alberta Cancer Foundation; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Allard Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Housekeeping gene; Biology; Gene; Housekeeping; Computational biology; Genome; Breast cancer; DNA microarray; Genetics; Bioinformatics; Gene expression; Cancer","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":[0.003846117,0.001752547,0.001489132,0.002945112,0.001143668,0.001367099,0.001239885,0.001243534,0.002486079],"category_scores_gemma":[0.003430126,0.0008504527,0.001467852,0.002620711,0.001038041,0.0008338975,0.001102383,0.002026152,0.003191183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000756275,"about_ca_system_score_gemma":0.001450091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004475257,"about_ca_topic_score_gemma":0.0009604635,"domain_scores_codex":[0.996509,0.0007970554,0.0003604242,0.001248608,0.0008485031,0.0002363439],"domain_scores_gemma":[0.9976459,0.0005926894,0.0003574811,0.0005336473,0.0007797713,0.00009043958],"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":[0.0001700324,0.00009706633,0.00121967,0.0003749253,0.000040141,0.0001645432,0.0001388996,0.0002565685,0.9745909,0.001234123,0.0009763089,0.02073668],"study_design_scores_gemma":[0.00004111088,0.0004341481,0.006294249,0.00008709874,0.000178654,0.0008001106,0.0001082009,0.003039311,0.9477555,0.001505781,0.03969699,0.00005897015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0614437,0.003021267,0.924671,0.0004385132,0.0004633814,0.001662776,0.002797152,0.002636347,0.002865756],"genre_scores_gemma":[0.04461147,0.001172983,0.9430997,0.0003691831,0.00006480759,0.00331472,0.004260298,0.0005326369,0.002574281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003846117,"threshold_uncertainty_score":0.0203405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200235472780732,"score_gpt":0.3249354036397241,"score_spread":0.3029330489119168,"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."}}