{"id":"W2261808466","doi":"10.1186/s12864-016-2389-8","title":"Cascade: an RNA-seq visualization tool for cancer genomics","year":2016,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Research Society; Genome Canada","keywords":"Computer science; Visualization; Genomics; Software; Data visualization; Scalability; Data mining; User interface; Data science; Database; Biology; Genome; Genetics","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":[0.001954094,0.001965542,0.0008940942,0.002821703,0.0006121332,0.001288338,0.002303607,0.001312208,0.03868535],"category_scores_gemma":[0.003222647,0.0008643669,0.00158568,0.001345529,0.0003596713,0.0015089,0.0020319,0.001843129,0.006636648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007591452,"about_ca_system_score_gemma":0.001228299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989557,"about_ca_topic_score_gemma":0.00419378,"domain_scores_codex":[0.9992775,0.0001285756,0.00006230994,0.0001316672,0.0003237338,0.00007621933],"domain_scores_gemma":[0.9983442,0.001002385,0.0001186811,0.0001064895,0.0002537006,0.0001745416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001819028,0.0002126088,0.004900339,0.003494186,0.0004974164,0.001587802,0.001211165,0.01084104,0.1508079,0.01125275,0.6106498,0.202726],"study_design_scores_gemma":[0.001132062,0.0004426991,0.01525594,0.0009889683,0.0003211614,0.003073703,0.0003721279,0.2617634,0.1571839,0.03313911,0.5255927,0.0007342831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01136569,0.001475833,0.4902292,0.001029488,0.000464301,0.000539418,0.05840712,0.4280899,0.008398979],"genre_scores_gemma":[0.09820591,0.001845789,0.7720734,0.001579654,0.0002736298,0.00272109,0.06891245,0.0454417,0.008946445],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03868535,"threshold_uncertainty_score":0.1294154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540637914361625,"score_gpt":0.2895425309787196,"score_spread":0.2641361518351034,"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."}}