{"id":"W4405218992","doi":"10.1093/bioinformatics/btae715","title":"VSS-Hi-C: variance-stabilized signals for chromatin contacts","year":2024,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Variance (accounting); Computer science; Chromatin; Biology; Genetics; DNA; Business","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":[0.003778223,0.001505538,0.001187413,0.001496187,0.0009414667,0.001834228,0.002749716,0.001385101,0.01574913],"category_scores_gemma":[0.0204975,0.000824846,0.001322286,0.001837328,0.001071243,0.001300575,0.002256011,0.002878288,0.007484533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807686,"about_ca_system_score_gemma":0.001513736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315747,"about_ca_topic_score_gemma":0.004462254,"domain_scores_codex":[0.997721,0.0005800737,0.00009533457,0.0006734054,0.0007369249,0.0001931603],"domain_scores_gemma":[0.994351,0.003078132,0.0004469911,0.0009602314,0.0009296028,0.0002339823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003075917,0.0003789102,0.02586417,0.004135248,0.001208427,0.0006451024,0.001597507,0.07334678,0.1968317,0.04018619,0.2108566,0.4418735],"study_design_scores_gemma":[0.0003785864,0.0003684689,0.01787486,0.000319774,0.000252434,0.0006052968,0.0002389172,0.6597564,0.2062314,0.03483945,0.07864811,0.0004862896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03100534,0.0007844348,0.8681623,0.0005402438,0.0003916623,0.0002063993,0.01562046,0.08071783,0.002571405],"genre_scores_gemma":[0.1882996,0.0005310182,0.7470146,0.0006578243,0.0002784353,0.001272253,0.03153032,0.02669642,0.003719473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01574913,"threshold_uncertainty_score":0.0526861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104714687438527,"score_gpt":0.2487426768522696,"score_spread":0.2376955299778844,"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."}}