{"id":"W4400656884","doi":"10.1186/s12920-024-01941-4","title":"Co-expression in tissue-specific gene networks links genes in cancer-susceptibility loci to known somatic driver genes","year":2024,"lang":"en","type":"article","venue":"BMC Medical Genomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Universitair Medisch Centrum Groningen; Oncode Institute; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institutes of Health Research; Gray Foundation; Genome Canada; ZonMw; National Institutes of Health; Ovarian Cancer Research Fund; Cancer Research UK; Government of Canada; European Commission; Breast Cancer Research Foundation","keywords":"Genome-wide association study; Biology; Gene; Genetics; Somatic cell; Germline; Germline mutation; Cancer; Human genetics; Genome; Computational biology; Mutation; Single-nucleotide polymorphism; Genotype","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":[0.0007549116,0.0003520296,0.0004121841,0.001701851,0.0004070406,0.0008391508,0.0003550327,0.0004187669,0.001668781],"category_scores_gemma":[0.002736019,0.000263985,0.000728284,0.002088117,0.0005698454,0.0004826504,0.0007512587,0.0004613013,0.0003223117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057643,"about_ca_system_score_gemma":0.0004443185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770051,"about_ca_topic_score_gemma":0.003649876,"domain_scores_codex":[0.9992048,0.0001902653,0.00004047761,0.0003604212,0.0001139153,0.00009017751],"domain_scores_gemma":[0.9972362,0.001643442,0.0006385692,0.0001925841,0.0001576921,0.0001315686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007157611,0.00009583226,0.6659389,0.0005981047,0.001123682,0.0006502942,0.0003372754,0.01864502,0.2768025,0.004327889,0.0008079343,0.02995681],"study_design_scores_gemma":[0.00002232255,0.0001243597,0.903375,0.00004453686,0.0006459408,0.001011645,0.0002444461,0.0541429,0.02661693,0.01093718,0.002801125,0.00003364035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519144,0.001764443,0.04234098,0.0003150466,0.00002165454,0.00002687951,0.001603778,0.0002399751,0.001772685],"genre_scores_gemma":[0.9911901,0.0003117055,0.007011263,0.00007047866,0.0000161517,0.00002303696,0.0009876594,0.00003047231,0.0003592611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001770051,"threshold_uncertainty_score":0.005582631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635386893625475,"score_gpt":0.2845004242840825,"score_spread":0.2681465553478277,"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."}}