Sentence examples for improved variance from inspiring English sources
In the light of the problem of amalgamation and processing of multisource observational data in the combined orbit determination of near-earth satellites of the bi-satellite positioning system, the optimal weighting method of the improved variance component estimation of the two-step systematic error correction of homogeneous observational data is proposed.
It has led to the development of many innovative alternatives, with hope of improved variance estimation accuracy and power.
Our score also accounts for overall expression levels for a gene and uses an improved variance stabilizing correction.
The use of robust variance estimates [ 19], as we proposed, improved variance estimation considerably, limiting the difference relative to the reference confidence interval to less than 3% in the studied examples.
These improved variance models could easily be implemented in both DESeq and edgeR and highlight the need for a database that offers a profile of gene variances over a range of tissue types and organisms.
For parametric tests, accurate estimation of intra-sample-group variance is a critical issue; two improved variance estimation techniques are the locally pooled error 27 and empirical Bayes methods.
Plot designs evolve as more efficient measurement configurations are shown to adequately capture local conditions, while new sample designs are developed to improve variance estimates by controlling how plots are distributed or analyzed.
Another strategy is to use external information to improve variance estimation.
In this study, we evaluate our proposed method of improving variance estimation for differential gene expression analysis, Tshrink+.
Including information on gene length also has the potential to improve variance information however this appears to relatively decrease as the sample size n increases.
The idea behind the variance estimation is that genes expressed in a similar level have a similar variance and sharing information between genes improves variance estimation (Anders and Huber, 2010).
