{"id":"W2157941179","doi":"10.1038/ncomms6442","title":"Regulatory network decoded from epigenomes of surface ectoderm-derived cell types","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institute on Drug Abuse; National Institute on Aging; Northern California Institute for Research and Education; National Institute of Environmental Health Sciences; U.S. Department of Veterans Affairs; National Science Foundation; National Institutes of Health; Dermatology Foundation","keywords":"Epigenomics; Biology; Ectoderm; DNA methylation; Myoepithelial cell; Epigenetics; Epigenome; Differentially methylated regions; Cell biology; Mesoderm; Endoderm; Genetics; Cellular differentiation; Embryonic stem cell; Gene; Gene expression; Immunology; Immunohistochemistry","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":[0.00009548217,0.0001226141,0.0002060764,0.0003394979,0.0001549023,0.0003360352,0.0001518293,0.0001172754,0.001573544],"category_scores_gemma":[0.0002880767,0.0001438866,0.0001693938,0.0003069206,0.0001804843,0.0002740126,0.0003179811,0.0001806589,0.0003065256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984713,"about_ca_system_score_gemma":0.0002098855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258518,"about_ca_topic_score_gemma":0.002489422,"domain_scores_codex":[0.9998894,0.00001318678,0.000004518337,0.00005742483,0.00001862008,0.00001686187],"domain_scores_gemma":[0.9998425,0.0000361011,0.00004121086,0.00001943599,0.00003982161,0.00002085428],"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":[0.0001267085,0.000006539185,0.01130278,0.00008765107,0.00002904745,0.00007496028,0.0001186326,0.0003962413,0.9723091,0.00148464,0.0001264126,0.01393728],"study_design_scores_gemma":[0.00001943543,0.0002323206,0.5796906,0.0000503972,0.0002133354,0.0006721523,0.0004218289,0.01192459,0.3840567,0.004650283,0.01803764,0.00003066309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559526,0.003182037,0.03075422,0.0001153681,0.0000330066,0.00002563438,0.00208018,0.0001725124,0.007684288],"genre_scores_gemma":[0.9873052,0.001107527,0.006274056,0.00006574078,0.00001548357,0.0000276634,0.001786705,0.00004796502,0.003369668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001573544,"threshold_uncertainty_score":0.005263984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009609757440581356,"score_gpt":0.2580146543505153,"score_spread":0.2484048969099339,"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."}}