{"id":"W2804039546","doi":"10.1016/j.ygeno.2018.05.009","title":"Integration of miRNA weighted gene co-expression network and miRNA-mRNA co-expression analyses reveals potential regulatory functions of miRNAs in calf rumen development","year":2018,"lang":"en","type":"article","venue":"Genomics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"microRNA; Biology; Gene; Gene expression; Rumen; Regulation of gene expression; Genetics; Gene expression profiling; Messenger RNA; Cell biology; Computational biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000319782,0.0002822326,0.0003609706,0.001372287,0.0002854265,0.0004989956,0.000244709,0.0001678824,0.0008320268],"category_scores_gemma":[0.0004954046,0.0002259172,0.0006116713,0.001329018,0.0001568342,0.0002941192,0.0004042789,0.0002662907,0.0002309771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509272,"about_ca_system_score_gemma":0.0004166096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002777975,"about_ca_topic_score_gemma":0.004470576,"domain_scores_codex":[0.9997004,0.00003745424,0.00001593803,0.0001304008,0.00006763832,0.00004812381],"domain_scores_gemma":[0.9996661,0.0001049358,0.0000852559,0.00003049524,0.00007093724,0.00004235799],"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":[0.0004982351,0.00005471454,0.07356279,0.0001339525,0.0002363523,0.0002643518,0.0001215994,0.005524466,0.8859156,0.00149965,0.0002134723,0.03197479],"study_design_scores_gemma":[0.00002373239,0.0002299386,0.5395212,0.00002245117,0.000627443,0.0008615427,0.0002752734,0.2183768,0.2322237,0.002836501,0.004923732,0.00007787001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360452,0.0006519612,0.06007748,0.00003972952,0.00001445949,0.0000257119,0.001325752,0.0002341737,0.0015854],"genre_scores_gemma":[0.9786363,0.0002333784,0.01814827,0.00001662253,0.000007141479,0.00003187585,0.001777362,0.00005478385,0.001094289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002777975,"threshold_uncertainty_score":0.005523622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032063079529101,"score_gpt":0.3054103894383078,"score_spread":0.2850897586430168,"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."}}