The NK603 data are in a pdf format preventing an easy statistical re-analysis.
Typical examples of this class include noise masking [1 3], speech and noise decomposition (SND) [4], vector Taylor series (VTS) [5], maximum likelihood linear regression (MLLR) [6], model-based stochastic matching [7, 8], model compensation based on non-uniform spectral compression (MC-SNSC) [9], statistical re-estimation (STAR) [10], and parallel model combination (PMC) [11 13] methods.
2. Traditionally, an inferred phylogenetic tree is subject to statistical re-sampling tests such as bootstrap and jackknife analyses.
A time continuous 95% confidence interval (CI) was calculated using bootstrapping [ 29], a general statistical re-sampling methodology.
Exclusion of the necropsy-derived BC liver metastases and statistical re-analysis did however not change the results.
The four state-of-the-art visualization methods offered by this software are GuideMaps [ 45], WorkMaps [ 46], Dynamic Statistical Visualization [ 47], and Statistical Re-Vision [ 48].
The authors report a statistical re-analysis of the Affymetrix microarray data produced by the Microarray Quality Control (MAQC) Consortium in order to evaluate the level of technical noise in high-throughput gene expression data sets.
In this study, we propose a statistical re-sampling method to display the variation pattern or to calculate the inter-quartile range (IQR) and the variance of gene expression levels that are associated with different probe level normalization methods.
Statistical re-analysis of the stratified power and graph theoretical results was conducted for the statistical maximum in time frequency grid space of the original results (before stratification) using dependent samples t-tests.
In this paper, we propose a method that combines gradient boosting with regression stumps, augmented with statistical re-estimation procedures for prioritizing a selected subset of edges based on results from the machine-learning models.
Therefore, the latter reinforces the need to dissect any sequence-to-domain alignments into their fold-critical and remnant sums for further statistical re-evaluation prior to making any homology inference; dissectHMMER is a pragmatic step towards homology inference.
