{"id":"W4392738542","doi":"10.1139/bcb-2024-0004","title":"Chromatin- and nucleosome-associated features in liquid biopsy: implications for cancer biomarker discovery","year":2024,"lang":"en","type":"review","venue":"Biochemistry and Cell Biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Biomarker; Nucleosome; Chromatin; Liquid biopsy; Biomarker discovery; Computational biology; Biology; Cancer biomarkers; DNA; Cancer; Chemistry; Biochemistry; Proteomics; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000889812,0.0007540503,0.00140482,0.002378727,0.0002134945,0.001069537,0.000816801,0.001331236,0.003232646],"category_scores_gemma":[0.001105881,0.0003217793,0.0005792135,0.001671329,0.0005611005,0.001392076,0.0006345819,0.001757145,0.002267834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006642095,"about_ca_system_score_gemma":0.0009537602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120707,"about_ca_topic_score_gemma":0.00187813,"domain_scores_codex":[0.9997842,0.0000422232,0.00002706442,0.00004293019,0.00008306772,0.00002055802],"domain_scores_gemma":[0.9994443,0.0003216445,0.00005519097,0.00001498546,0.0001306807,0.00003320703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007472206,0.00003795939,0.0003001534,0.01467751,0.00009459456,0.000245608,0.00004332309,0.0004186352,0.002718948,0.004473036,0.01913795,0.9577775],"study_design_scores_gemma":[0.00001406416,0.00009373493,0.001110207,0.003254964,0.0001115926,0.002006128,0.00005917999,0.0001592335,0.001148782,0.003130807,0.9888778,0.00003350155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008427948,0.9985995,0.0001985374,0.0002709348,0.0001681859,0.000003325244,0.00002614597,0.000006035485,0.0006430172],"genre_scores_gemma":[0.0006007496,0.9981262,0.0003280097,0.0002175868,0.0001536637,0.000006501241,0.00004883572,0.000001853951,0.0005166097],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003232646,"threshold_uncertainty_score":0.01081431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165110459359522,"score_gpt":0.3109813763952681,"score_spread":0.2944703304593159,"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."}}