{"id":"W2047077861","doi":"10.1038/nmeth.1541","title":"SAINT: probabilistic scoring of affinity purification–mass spectrometry data","year":2010,"lang":"en","type":"article","venue":"Nature Methods","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":831,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research","keywords":"Interactome; Probabilistic logic; Mass spectrometry; Computer science; Computational biology; Protein–protein interaction; Quantitative proteomics; Proteomics; Chemistry; Data mining; Chromatography; Biology; Artificial intelligence; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159183885167357,"score_gpt":0.3463741186204375,"score_spread":0.3247822797687639,"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."}}