{"id":"W1878664294","doi":"10.1186/s12859-015-0597-x","title":"ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles","year":2015,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Canada Research Chairs; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Lung cancer; R package; Prostate cancer; Cancer; Fraction (chemistry); Tumour heterogeneity; Computer science; DNA microarray; Computational biology; Algorithm; Bioinformatics; Data mining; Biology; Oncology; Computational science; Medicine; Gene; Gene expression; Chemistry; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003910369,0.002726883,0.001460506,0.001488027,0.0005984329,0.002088742,0.003130114,0.001257883,0.03053092],"category_scores_gemma":[0.02130109,0.001714497,0.003063354,0.001328824,0.0008770106,0.00144718,0.002617711,0.003272704,0.02075707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000653877,"about_ca_system_score_gemma":0.002228868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515591,"about_ca_topic_score_gemma":0.003206224,"domain_scores_codex":[0.9976847,0.0008503314,0.0002021712,0.0006050339,0.0005158189,0.0001419457],"domain_scores_gemma":[0.9942668,0.003881307,0.0004080452,0.0007977025,0.000502238,0.0001438936],"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":[0.00224184,0.0002562799,0.01294261,0.003483627,0.00250026,0.001235469,0.001168642,0.1471412,0.02600143,0.03437431,0.3306347,0.4380195],"study_design_scores_gemma":[0.0008634197,0.0003072104,0.005312753,0.0002621892,0.0004164299,0.001122854,0.0001203768,0.7297187,0.03209473,0.04743938,0.1820245,0.0003175035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003097156,0.0002145032,0.8723003,0.0002024043,0.00009672016,0.0001444037,0.006785005,0.115743,0.001416458],"genre_scores_gemma":[0.04216137,0.0002623127,0.880542,0.0004347921,0.00008419467,0.001342693,0.01467317,0.05701413,0.003485365],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03053092,"threshold_uncertainty_score":0.1021361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230863607859793,"score_gpt":0.2899811739000443,"score_spread":0.266894813114065,"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."}}