{"id":"W2761188727","doi":"10.1007/978-1-4939-7380-4_9","title":"ChIP-re-ChIP: Co-occupancy Analysis by Sequential Chromatin Immunoprecipitation","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chromatin immunoprecipitation; ChIP-on-chip; ChIP-sequencing; Chromatin; Chip; Immunoprecipitation; Epigenetics; ChIA-PET; Computational biology; Computer science; DNA; Chromatin remodeling; Biology; Genetics; Gene; Gene expression; Promoter; Telecommunications","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":[0.002742999,0.002651197,0.004206364,0.002713021,0.001531113,0.002259266,0.004706534,0.001265352,0.00992915],"category_scores_gemma":[0.001850578,0.002554296,0.002309339,0.002573299,0.001352319,0.001242365,0.002683241,0.005765848,0.01307067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009588731,"about_ca_system_score_gemma":0.001490046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509622,"about_ca_topic_score_gemma":0.006499831,"domain_scores_codex":[0.9951197,0.0005353979,0.0003393716,0.001656543,0.001639213,0.0007098358],"domain_scores_gemma":[0.9980437,0.0004476095,0.0001063604,0.000926861,0.0003256717,0.0001498341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006326024,0.0003611679,0.001346839,0.0005661058,0.0003081909,0.0001107694,0.00008771803,0.0009184854,0.9358782,0.0015649,0.008829045,0.04939608],"study_design_scores_gemma":[0.00008430128,0.0001014254,0.003674298,0.00001148162,0.0001102761,0.0004682987,0.00002572788,0.0131756,0.960551,0.0006700869,0.02102814,0.0000994602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07629915,0.003108727,0.8755361,0.0006531968,0.0008689897,0.001034038,0.01494321,0.02274642,0.004810053],"genre_scores_gemma":[0.1598584,0.001742805,0.782608,0.000764135,0.0001971715,0.00301317,0.03088746,0.006032905,0.0148961],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00992915,"threshold_uncertainty_score":0.0332163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579605980119566,"score_gpt":0.3858508271597328,"score_spread":0.3700547673585372,"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."}}