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Bayesian inference
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===Bioinformatics and healthcare applications=== Bayesian inference has been applied in different [[Bioinformatics]] applications, including differential gene expression analysis.<ref name=":edgr">Robinson, Mark D & McCarthy, Davis J & Smyth, Gordon K edgeR: a Bioconductor package for differential expression analysis of digital gene expression data, Bioinformatics.</ref> Bayesian inference is also used in a general cancer risk model, called [[Continuous Individualized Risk Index|CIRI]] (Continuous Individualized Risk Index), where serial measurements are incorporated to update a Bayesian model which is primarily built from prior knowledge.<ref>{{Cite web| url=https://ciri.stanford.edu/|title=CIRI|website=ciri.stanford.edu|access-date=2019-08-11}}</ref><ref>{{Cite journal| last1=Kurtz |first1=David M.|last2=Esfahani|first2=Mohammad S.|last3=Scherer|first3=Florian|last4=Soo|first4=Joanne| last5=Jin| first5=Michael C.|last6=Liu|first6=Chih Long|last7=Newman|first7=Aaron M.|last8=Dührsen|first8=Ulrich| last9=Hüttmann | first9=Andreas | date=2019-07-25|title=Dynamic Risk Profiling Using Serial Tumor Biomarkers for Personalized Outcome Prediction | journal=Cell|volume=178|issue=3|pages=699–713.e19|doi=10.1016/j.cell.2019.06.011|issn=1097-4172|pmid=31280963|pmc=7380118|doi-access=free}}</ref>
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