{"id":"W2029346055","doi":"10.1038/msb.2013.54","title":"A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities","year":2013,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Regina; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Saskatchewan Cancer Agency; University of Saskatchewan; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Canadian Institute for Advanced Research","keywords":"Biology; PTEN; Computational biology; Genetics; Gene; Cancer; Genome; Genomics; Genetic screen; Phenotype; PI3K/AKT/mTOR pathway; Signal transduction","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":[0.0002453391,0.0002631605,0.0002748603,0.0009548845,0.0002603458,0.0003381149,0.0002215042,0.0001738111,0.0007858101],"category_scores_gemma":[0.0005736998,0.0001542651,0.0002450543,0.0006212987,0.0002537501,0.0001746202,0.0003959221,0.0004232169,0.0001932425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004139543,"about_ca_system_score_gemma":0.0002318526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008342901,"about_ca_topic_score_gemma":0.0016996,"domain_scores_codex":[0.9997591,0.00003742195,0.0000152699,0.00007993458,0.00008312856,0.00002502219],"domain_scores_gemma":[0.9995528,0.0001639362,0.0000848671,0.000102037,0.00005188376,0.00004459664],"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":[0.0001308022,0.00003095448,0.008326438,0.00004078708,0.00002963177,0.0001967404,0.00004413097,0.004154086,0.9790269,0.001898765,0.0000990008,0.006021743],"study_design_scores_gemma":[0.00003104024,0.0003271866,0.1460559,0.00001389776,0.0001865379,0.00171157,0.000184923,0.0880928,0.7470827,0.008712817,0.00755521,0.00004531146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669353,0.0001238966,0.03008646,0.00005292418,0.000006108206,0.00002606395,0.0008521414,0.0002545339,0.00166248],"genre_scores_gemma":[0.9879078,0.0001060515,0.009451156,0.00004568206,0.000001939523,0.00003237644,0.001798672,0.00004811909,0.0006081576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009548845,"threshold_uncertainty_score":0.003003478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007405068352220564,"score_gpt":0.2461850152360143,"score_spread":0.2387799468837938,"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."}}