{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:31:41Z","timestamp":1740137501399,"version":"3.37.3"},"reference-count":17,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","funder":[{"name":"The National Key Scientific Instrument and Equipment Development Project of China","award":["ZDYZ2013-1"],"award-info":[{"award-number":["ZDYZ2013-1"]}]},{"name":"Suzhou Science and Technology Development Project","award":["SYG201503"],"award-info":[{"award-number":["SYG201503"]}]},{"name":"The National Key Research and Development Program of China","award":["2017YFF0108600"],"award-info":[{"award-number":["2017YFF0108600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Bioinform. Comput. Biol."],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:p> In the digital polymerase chain reaction (dPCR) detection process, discriminating positive droplets from negative ones directly affects the final concentration and is one of the most important factors affecting accuracy. Current automated classification methods usually discuss single-channel detections, whereas duplex detection experiments are less discussed. In this paper, we designed a classification method by estimating the upper limit of the negative droplets. The right tail of the negative droplets is approximated using a generalized Pareto distribution. Furthermore, our method takes fluorescence compensation in duplex assays into account. We also demonstrate the method on Bio-Rad\u2019s mutant detection dataset. Experimental results show that the method provides similar or better accuracy than other algorithms reported over a wider dynamic range. <\/jats:p>","DOI":"10.1142\/s0219720018500038","type":"journal-article","created":{"date-parts":[[2018,1,25]],"date-time":"2018-01-25T05:33:44Z","timestamp":1516858424000},"page":"1850003","source":"Crossref","is-referenced-by-count":4,"title":["An automated approach to classification of duplex assay for digital droplet PCR"],"prefix":"10.1142","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6484-5780","authenticated-orcid":false,"given":"Cong","family":"Liu","sequence":"first","affiliation":[{"name":"CAS, Suzhou Institute of Biomedical Engineering and Technology, Suzhou 215163, P. R. China"}]},{"given":"Wuping","family":"Zhou","sequence":"additional","affiliation":[{"name":"CAS, Suzhou Institute of Biomedical Engineering and Technology, Suzhou 215163, P. R. 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