{"id":"W2187966149","doi":"10.1016/j.dib.2015.11.045","title":"Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes","year":2015,"lang":"en","type":"article","venue":"Data in Brief","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China; Simon Fraser University; Stem Cell Network; Compute Canada","keywords":"Housekeeping gene; Gene; Gene ontology; Biology; Housekeeping; Microarray; Genetics; Computational biology; Transcriptome; Microarray analysis techniques; Exon; Gene chip analysis; Microarray databases; Gene expression","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":[0.004790732,0.0007095051,0.000881365,0.001724237,0.0009848595,0.001663964,0.0008443744,0.0006333038,0.001989095],"category_scores_gemma":[0.007937866,0.0005139396,0.0006914984,0.002863694,0.001202112,0.001006397,0.0009278808,0.001173743,0.001291514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000773459,"about_ca_system_score_gemma":0.0007783912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007561849,"about_ca_topic_score_gemma":0.001811882,"domain_scores_codex":[0.9908683,0.002359342,0.0009800735,0.002080464,0.003220394,0.0004913798],"domain_scores_gemma":[0.9946774,0.002672509,0.0005939571,0.0009957653,0.0009898152,0.00007052645],"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":[0.0002712706,0.00003756547,0.005733929,0.000405985,0.00005268545,0.00009966459,0.0002210943,0.0002068021,0.973531,0.001185404,0.0007384587,0.01751616],"study_design_scores_gemma":[0.0000107496,0.0001730432,0.02059758,0.00008739188,0.0001341655,0.0003876547,0.0002030491,0.001518485,0.9537472,0.001969598,0.02114209,0.00002896678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5145277,0.01272599,0.444011,0.001310208,0.001368575,0.0008534044,0.009904617,0.002308112,0.01299033],"genre_scores_gemma":[0.639831,0.009260342,0.3142076,0.002618334,0.0003407752,0.002485105,0.01973656,0.001623697,0.009896578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004790732,"threshold_uncertainty_score":0.02533615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06096204320676458,"score_gpt":0.3025654317737674,"score_spread":0.2416033885670028,"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."}}