{"id":"W2413432810","doi":"10.1038/srep15435","title":"DNA methylation signatures of long intergenic noncoding RNAs in porcine adipose and muscle tissues","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; University of Toronto","funders":"Agricultural Science and Technology Innovation Program; National Key Research and Development Program of China; Chinese Academy of Sciences; National High-tech Research and Development Program; Yunnan Provincial Science and Technology Department; National Natural Science Foundation of China","keywords":"Biology; DNA methylation; Methylated DNA immunoprecipitation; Intergenic region; Gene; Methylation; Genetics; Differentially methylated regions; Exon; Epigenetics; Promoter; Genome; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001280256,0.00009295569,0.0001593434,0.0003766727,0.0001018111,0.0001905506,0.00008570846,0.0001519533,0.0005566908],"category_scores_gemma":[0.0001819907,0.0001090443,0.000166399,0.0002372147,0.0001188625,0.0001062743,0.0001693332,0.0001739611,0.0001610281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000882074,"about_ca_system_score_gemma":0.0000806407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008852813,"about_ca_topic_score_gemma":0.001746064,"domain_scores_codex":[0.9999021,0.0000111232,0.000006624481,0.00004821626,0.00001556208,0.00001627928],"domain_scores_gemma":[0.9999036,0.00002545459,0.00003324486,0.000008917711,0.00001635807,0.00001249519],"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":[0.0002987982,0.000009240956,0.05810854,0.00008372935,0.00004421207,0.0000874648,0.0001699757,0.000143092,0.9323937,0.00006402357,0.00009060833,0.008506685],"study_design_scores_gemma":[0.000008630738,0.0001731648,0.9319733,0.00001300515,0.00007273292,0.0004375886,0.000170912,0.00132557,0.06378201,0.000143335,0.001883416,0.00001637095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956433,0.0007948757,0.001780078,0.00001946282,0.000006820402,0.000005282268,0.001084552,0.00002676021,0.0006390476],"genre_scores_gemma":[0.9940561,0.0003080174,0.001912349,0.0000562993,0.000006818615,0.00002147018,0.002663227,0.00001818601,0.0009574902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008852813,"threshold_uncertainty_score":0.001862288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850885981954535,"score_gpt":0.2971897297175911,"score_spread":0.2786808698980457,"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."}}