Filtering maxRatio results with machine learning models increases quantitative PCR accuracy over the fit point method.
暂无分享,去创建一个
Luigi Marongiu | Eric Shain | Kevin Shain | Heike Allgayer | H. Allgayer | Kevin Shain | E. Shain | L. Marongiu
[1] Kurt Hornik,et al. kernlab - An S4 Package for Kernel Methods in R , 2004 .
[2] Stefan Rödiger,et al. Biomolecular Detection and Quantification , 2022 .
[3] Yang Wang,et al. Applications of Support Vector Machine (SVM) Learning in Cancer Genomics. , 2018, Cancer genomics & proteomics.
[4] Patrick M M Bossuyt,et al. Quantifying the accuracy of a diagnostic test or marker. , 2012, Clinical chemistry.
[5] Songthip Ounpraseuth,et al. Estimating misclassification error: a closer look at cross-validation based methods , 2012, BMC Research Notes.
[6] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[7] M. Schueler,et al. Evaluation of the LightCycler 1536 Instrument for high-throughput quantitative real-time PCR. , 2010, Methods.
[8] Sergey E. Ilyin,et al. Nanoliter high throughput quantitative PCR , 2006, Nucleic acids research.
[9] Eric Shain,et al. Analysis of TaqMan Array Cards Data by an Assumption-Free Improvement of the maxRatio Algorithm Is More Accurate than the Cycle-Threshold Method , 2016, PloS one.
[10] John M. Clemens,et al. A new method for robust quantitative and qualitative analysis of real-time PCR , 2008, Nucleic acids research.