{"id":"W2950998564","doi":"10.1371/journal.pcbi.1006520","title":"Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency; Stichting voor de Technische Wetenschappen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Cancer Research UK","keywords":"Computer science; Breast cancer; Cluster analysis; Computational biology; Lung cancer; Adenocarcinoma; Cancer; Biology; Bioinformatics; Machine learning; Oncology; Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008714491,0.0006426965,0.0007958827,0.002705405,0.0002782038,0.0006771684,0.000615266,0.0006628765,0.001126651],"category_scores_gemma":[0.002832443,0.0002399077,0.001698258,0.001573205,0.0003858079,0.0004826143,0.0008391496,0.0008171106,0.0005200322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460096,"about_ca_system_score_gemma":0.0007120133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005769673,"about_ca_topic_score_gemma":0.006497316,"domain_scores_codex":[0.9994801,0.0001000253,0.00003690078,0.0001563837,0.0001500267,0.00007661787],"domain_scores_gemma":[0.9989548,0.0003426182,0.0001831212,0.0001851882,0.0002654738,0.00006881611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001439346,0.0004594261,0.1192716,0.0007137459,0.0006815309,0.000714279,0.0003487055,0.2393173,0.2286002,0.009053109,0.01236003,0.3870408],"study_design_scores_gemma":[0.00005256333,0.0001579608,0.03916548,0.00002883698,0.0001442141,0.0004528315,0.0001682755,0.9151084,0.02654553,0.01168647,0.006423075,0.00006635945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3753409,0.001168831,0.6074446,0.0008114096,0.00007157828,0.0001494394,0.009900569,0.003575782,0.001536745],"genre_scores_gemma":[0.7763972,0.000457056,0.2005652,0.0001904223,0.00008414026,0.0002509876,0.02051702,0.0002184898,0.001319648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005769673,"threshold_uncertainty_score":0.01147217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070417422223665,"score_gpt":0.2525270357116866,"score_spread":0.2318228614894499,"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."}}