{"id":"W3036259867","doi":"10.1093/gigascience/giaa066","title":"CandiMeth: Powerful yet simple visualization and quantification of DNA methylation at candidate genes","year":2020,"lang":"en","type":"article","venue":"GigaScience","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Biotechnology and Biological Sciences Research Council; Medical Research Council Canada; Public Health Agency; Medical Research Council; Cereal Partners Worldwide","keywords":"DNA methylation; Computational biology; Genome browser; Biology; Methylation; Workflow; Visualization; Genome; Epigenomics; Candidate gene; Epigenetics; Genomics; Computer science; Gene; Genetics; Data mining; Database; Gene expression","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":[0.002402202,0.001813772,0.001428248,0.003006781,0.0008797378,0.001895852,0.002441177,0.001519177,0.04303993],"category_scores_gemma":[0.005139418,0.00106825,0.002319769,0.001481618,0.0004970874,0.001607698,0.002451158,0.002341474,0.01115496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007272211,"about_ca_system_score_gemma":0.001445407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639764,"about_ca_topic_score_gemma":0.004053778,"domain_scores_codex":[0.9989311,0.0001599719,0.0000922784,0.0003672894,0.0003238889,0.0001254472],"domain_scores_gemma":[0.9976211,0.001335811,0.0002074793,0.0003328985,0.0002880013,0.0002146043],"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":[0.003742741,0.0002717188,0.02034646,0.004888365,0.0009774151,0.001424841,0.001446458,0.007053926,0.1566786,0.009447319,0.5399064,0.2538158],"study_design_scores_gemma":[0.001210704,0.0006646354,0.0365708,0.0008485447,0.0004396041,0.002314791,0.0004060505,0.1379148,0.3409493,0.02879552,0.4489575,0.0009277457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02333283,0.001357912,0.3676358,0.0008650226,0.0006030794,0.0003412952,0.1287645,0.4698011,0.00729843],"genre_scores_gemma":[0.1099959,0.001136668,0.6879599,0.001339943,0.0002328405,0.00282527,0.1251206,0.0612996,0.01008938],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04303993,"threshold_uncertainty_score":0.1439829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236607436095617,"score_gpt":0.2937630208027434,"score_spread":0.2713969464417872,"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."}}