Despite the central role of quantitative PCR (qPCR) in the quantification of mRNA transcripts, most analyses of qPCR data are still delegated to the software that comes with the qPCR apparatus. This is especially true for the handling of the fluorescence baseline. This article shows that baseline...
DNA has recently emerged as an attractive medium for archival data storage. Recent work has demonstrated proof-of-principle prototype systems; however, very uneven (biased) sequencing coverage has been reported, which indicates inefficiencies in the stor
Bias may exist in data that you collect for quantitative analysis in software engineering research. Some forms of bias can negatively affect the validity of analysis, results, and conclusions. In this chapter, I discuss forms of bias, how to test for them, and in some cases how to address ...
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precisionIn recent years, there has been a growing desire for the use of probe vehicle technology for congestion detection and general infrastructure performance assessment. Unlike costly traditional data ...
The effectiveness of behavioural and psychosocial HIV/STI prevention interventions for MSM in Europe: A systematic review Given the need of programme planners and policy makers for descriptions of specific interventions and quantitative estimates of intervention effects to mak... R, Berg - Euro surveill...
models is linearity (on some scale) for quantitative predictors, which should be assessed with methods such as fractional polynomials or regression splines. In particular, categorisation of quantitative variables assumes an unrealistic step function, which can result in power loss or uncontrolled ...
et al. A method for normalizing histology slides for quantitative analysis. in Proc. 6th IEEE International Conference on Symposium on Biomedical Imaging: From Nano to Macro 1107–1110 (IEEE, 2009). Janowczyk, A., Basavanhally, A. & Madabhushi, A. Stain Normalization using Sparse Auto...
-laden (Gitelman,2013). Biases in AI algorithms have similar foundations as human cognitive biases, namely the reliance on heuristic algorithmic-search strategies that work well on average (Hellström et al.,2020). Quantitative loss metrics that are optimized by AI algorithms may result in an ...
Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using... HF Utz,AE Melchinger,CC Schön - 《Genetics》 被引量: 694发表: 2000年 Inferring admixture proportions from molecular data. We show th...
In certain areas of animal research, such as nutrition, quantitative summarizations of literature data are periodically needed. In such instances, statisti... NR St-Pierre - 《Revista Brasileira De Zootecnia》 被引量: 25发表: 2007年 Interaction models and the principled design of interactive syst...