{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004292064,0.00008958809,0.0001293845,0.0001073407,0.0000262971,0.00002503144,0.0002341697,0.0001296271,0.000001508316],"category_scores_gemma":[0.00004661821,0.00009802415,0.00002480451,0.0002662247,0.00005250151,0.000007988077,0.0001147906,0.00007370032,6.75428e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002332406,"about_ca_system_score_gemma":0.00002912218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313527,"about_ca_topic_score_gemma":0.004567643,"domain_scores_codex":[0.9991103,0.00007019183,0.0001957773,0.0004342436,0.00004736035,0.0001420599],"domain_scores_gemma":[0.999342,0.000005184336,0.00004803365,0.000540928,0.000018446,0.00004545306],"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":[0.00001348632,0.00001569841,0.01302859,0.000004274781,0.00003579339,0.000001846774,0.00002795634,0.00001984758,0.983518,0.00000659708,0.0005294628,0.00279846],"study_design_scores_gemma":[0.0007290859,0.00006524481,0.01066697,0.00001239089,0.0001010372,0.00002073252,0.0001410965,0.001987895,0.9429213,0.0001077215,0.04292299,0.0003235418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573572,0.001657854,0.04052833,0.00007981234,0.00002149891,0.0001342474,0.0001680983,0.0000134345,0.00003953552],"genre_scores_gemma":[0.9960738,0.0004071572,0.001188866,0.0001806065,0.0000206374,0.00002799221,0.002065826,0.00001039155,0.00002467844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04239352,"threshold_uncertainty_score":0.3997309,"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."}}