{"id":"W152662877","doi":"10.1007/978-1-60327-192-9_10","title":"Methylation Analysis by DNA Immunoprecipitation (MeDIP)","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Occupational Cancer Research Centre; BC Cancer Agency","funders":"National Institute of Dental and Craniofacial Research","keywords":"Methylated DNA immunoprecipitation; DNA methylation; Biology; Epigenetics; Bisulfite sequencing; Epigenomics; Differentially methylated regions; Illumina Methylation Assay; Genetics; Gene; Computational biology; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467756,0.0002003045,0.0003019726,0.0002991701,0.00004831979,0.00001915814,0.0002108325,0.0003700299,0.00002392257],"category_scores_gemma":[0.0004673571,0.0002049518,0.0001846488,0.0006875313,0.00006172231,0.000004154067,0.00004643949,0.0001326125,0.000003229596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002851679,"about_ca_system_score_gemma":0.00002888013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002817193,"about_ca_topic_score_gemma":0.0000155969,"domain_scores_codex":[0.9974908,0.00115122,0.0004273907,0.0005332531,0.00009519763,0.0003021395],"domain_scores_gemma":[0.9991814,0.00006137541,0.0001561459,0.0004477334,0.00008967253,0.00006360721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000293143,0.00005091921,0.001884916,0.0000016487,0.0001127259,9.534626e-7,0.00003577014,0.0004915046,0.9300455,0.0004881754,0.00002346651,0.06683505],"study_design_scores_gemma":[0.0003882397,0.0003831401,0.006092985,0.00000222636,0.0001083521,5.665112e-7,0.00001718002,0.0008276225,0.9747704,0.0104343,0.006726855,0.0002481782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2103858,0.004379205,0.7838721,0.0002060219,0.0001117627,0.0001528712,0.000009071412,0.00001230739,0.000870926],"genre_scores_gemma":[0.5896857,0.0003884333,0.4084094,0.0003638352,0.00005676687,0.0000247146,0.0009155511,0.00001727999,0.0001383013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3793,"threshold_uncertainty_score":0.8357691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121606051578755,"score_gpt":0.3788340960953748,"score_spread":0.3676180355795872,"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."}}