{"id":"W2541577704","doi":"10.5376/cge.2016.04.0002","title":"Identification of Differentially Expressed Genes and Prognostic Biomarkers of Breast Cancer Based on RNA-Seq and KEGG Pathway Network","year":2016,"lang":"en","type":"article","venue":"Cancer Genetics and Epigenetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"KEGG; Identification (biology); Breast cancer; Computational biology; Gene; RNA-Seq; Biology; RNA; Cancer; Bioinformatics; Gene expression; Transcriptome; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003993427,0.0005081616,0.0006748507,0.003481293,0.0005566948,0.0006357784,0.0002954023,0.0002912403,0.002489321],"category_scores_gemma":[0.000689063,0.0001921084,0.0009932517,0.003498282,0.00016147,0.0004031765,0.0005332637,0.0003527593,0.000436624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005557603,"about_ca_system_score_gemma":0.0009920369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444325,"about_ca_topic_score_gemma":0.003444413,"domain_scores_codex":[0.9996368,0.00005228516,0.00003713631,0.000117562,0.00008554798,0.00007067223],"domain_scores_gemma":[0.9997743,0.00007389285,0.00005317046,0.00001197837,0.00005848952,0.00002819167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002988995,0.0005170884,0.4061019,0.008393299,0.00231684,0.002899703,0.001147395,0.03920747,0.3117177,0.006335392,0.01688626,0.201488],"study_design_scores_gemma":[0.0001984628,0.0006794595,0.6980942,0.0006695822,0.002863204,0.003052852,0.001056113,0.1565064,0.06093528,0.01847258,0.0572453,0.0002265371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326466,0.009235456,0.05256207,0.0009463728,0.0001046477,0.0004636743,0.09730057,0.001210413,0.005530227],"genre_scores_gemma":[0.8484629,0.005622857,0.05361623,0.0003053852,0.00005009092,0.0009865058,0.0872144,0.0001233774,0.003618382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003481293,"threshold_uncertainty_score":0.008327603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797844176677519,"score_gpt":0.2226115905403184,"score_spread":0.2148137463636409,"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."}}