{"id":"W1530462586","doi":"10.1186/s13062-015-0058-5","title":"Design principles for cancer therapy guided by changes in complexity of protein-protein interaction networks","year":2015,"lang":"en","type":"article","venue":"Biology Direct","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Allard Foundation","keywords":"Persistent homology; Biology; Protein Interaction Networks; Computational biology; Protein–protein interaction; Homology (biology); Interaction network; Interaction information; Visualization; Homology modeling; Bioinformatics; Computer science; Machine learning; Data mining; Genetics; Mathematics; Gene; Biochemistry","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":[0.001405408,0.0007138773,0.0006534851,0.0007991445,0.0005625287,0.001232601,0.001547846,0.00110984,0.003592382],"category_scores_gemma":[0.002474448,0.0005500622,0.0009628367,0.0003500861,0.00155066,0.001374306,0.001507619,0.001234573,0.0007680451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620881,"about_ca_system_score_gemma":0.001595277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007954062,"about_ca_topic_score_gemma":0.001189642,"domain_scores_codex":[0.9993935,0.0002067728,0.00002422784,0.0001071051,0.0002095455,0.00005886745],"domain_scores_gemma":[0.9992195,0.0003636697,0.0001349254,0.00007792793,0.0001293182,0.00007450352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007973092,0.0001144654,0.001207336,0.0003384926,0.0000825106,0.0001570793,0.0001781045,0.761232,0.01593307,0.1583604,0.003582083,0.05873471],"study_design_scores_gemma":[0.00005399503,0.0001688551,0.0003256208,0.00004159092,0.0000367867,0.0001302987,0.00005458021,0.8598491,0.002503488,0.1282338,0.008579932,0.00002192068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01245524,0.0006145007,0.9775541,0.001826494,0.00006624346,0.0001820875,0.00005137894,0.0002437232,0.00700615],"genre_scores_gemma":[0.462651,0.001642236,0.5241686,0.001016856,0.0001020088,0.001512857,0.0001295487,0.0002619212,0.00851503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003592382,"threshold_uncertainty_score":0.01201767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2520148399035331,"score_gpt":0.3578603224105145,"score_spread":0.1058454825069813,"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."}}