{"id":"W4283804517","doi":"10.3390/stats5030036","title":"Quantile Regression Approach for Analyzing Similarity of Gene Expressions under Multiple Biological Conditions","year":2022,"lang":"en","type":"article","venue":"Stats","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Mahalanobis distance; Quantile regression; Similarity (geometry); Statistic; Expression (computer science); Computer science; Cluster analysis; Statistics; Statistical hypothesis testing; Test statistic; Function (biology); Mathematics; Biology; Genetics; Artificial intelligence","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":[0.0001588848,0.00009529757,0.0001230986,0.00005207225,0.0003162332,0.000006194504,0.000165268,0.00007261509,0.00007829215],"category_scores_gemma":[0.00006498926,0.00007967759,0.0001049282,0.0001115073,0.00006130217,0.000002888867,0.0001242417,0.00008122678,3.388438e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001585404,"about_ca_system_score_gemma":0.00006240982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005337166,"about_ca_topic_score_gemma":0.000001491531,"domain_scores_codex":[0.999109,0.0001125493,0.0001917757,0.0003181243,0.0001133367,0.0001552344],"domain_scores_gemma":[0.9994205,0.00002800321,0.0001342456,0.0002922196,0.00006762073,0.0000573922],"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":[0.0001045139,0.0001777207,0.002129302,0.00001002036,0.00001879145,1.493648e-7,0.0000465655,0.002269879,0.9871079,0.0002201091,0.007665073,0.0002499899],"study_design_scores_gemma":[0.001342824,0.000396676,0.01175953,0.00001004279,0.0000240592,0.000004979241,0.002007619,0.002584484,0.9523757,0.000641337,0.02858882,0.0002639634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8245186,0.000597764,0.1729186,0.0001300745,0.0001668248,0.0004385743,0.0008412556,0.0000202903,0.0003679776],"genre_scores_gemma":[0.9898762,0.00004914347,0.007225073,0.0001053812,0.00005385057,0.0003159068,0.002118722,0.00001212434,0.0002436261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656935,"threshold_uncertainty_score":0.3249158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07084425239305296,"score_gpt":0.3346029531168182,"score_spread":0.2637587007237652,"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."}}