{"id":"W2125339166","doi":"10.1093/bioinformatics/btn389","title":"DrugViz: a Cytoscape plugin for visualizing and analyzing small molecule drugs in biological networks","year":2008,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Plug-in; Computer science; Visualization; Software; Set (abstract data type); Cluster analysis; Data mining; Hierarchical clustering; Computational biology; Interactome; Biological network; Bioinformatics; Information retrieval; Biology; Machine learning; Programming language","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":[0.0009072679,0.001792652,0.001115663,0.004484391,0.0007389942,0.001442684,0.002569766,0.001004328,0.05210758],"category_scores_gemma":[0.003141093,0.0009892111,0.001073948,0.002427519,0.0002635949,0.001739794,0.001813224,0.002115963,0.01285998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006575334,"about_ca_system_score_gemma":0.00154651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005009253,"about_ca_topic_score_gemma":0.008112609,"domain_scores_codex":[0.9995242,0.00007684951,0.00003539862,0.00009138985,0.0002212267,0.00005084333],"domain_scores_gemma":[0.9988158,0.0006856796,0.00008219355,0.000105822,0.0001623882,0.0001481668],"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":[0.0006273315,0.0001805627,0.002125433,0.003627608,0.0004935379,0.0006375628,0.0002933937,0.008474918,0.02647305,0.007017008,0.770049,0.1800006],"study_design_scores_gemma":[0.001042629,0.0001532654,0.008870427,0.0004245015,0.0002389653,0.0009859663,0.000117697,0.1252322,0.07922077,0.02794452,0.7553531,0.0004159445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01051824,0.002037982,0.2583551,0.001112903,0.0005069033,0.001061148,0.1873819,0.5270208,0.01200512],"genre_scores_gemma":[0.08729002,0.003819529,0.4919546,0.001915877,0.0003116114,0.006066069,0.3315986,0.05410881,0.02293497],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05210758,"threshold_uncertainty_score":0.1743172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813335152011109,"score_gpt":0.2986896161002469,"score_spread":0.2505562645801358,"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."}}