A hierarchy of statistical models is provided that, in broad terms, defines the statistics used in this field of study and, specifically, in this text. These models range from conceptually very simple pairwise comparisons of treatment groups to a control, through trend tests based on an assumed...
With the use of Peña et al.'s (2002) stimuli, two tests could be performed. The first is a segmentation test, in which response ratios to words and response ratios to part-words are compared. If subjects can segment the stream, they must be able to differentiate between these two ...
and fold change based tests[ 9 ] is provided in additional file 1 . the matlab source code of the dfc test program is provided in additional file 2 . data sets with established degs were selected for testing as these had been previously used for comparison of different methods for detecting...
The horizontal error bar indicates the interquartile range of Np estimates and the trendline fitted with a linear model (LM) is shown in blue. The Pearson′s correlation coefficients and the corresponding P-values obtained from two-sided t-tests are shown on the top-left corner of each panel...
In addition to enrichment analysis, Functional Class Scoring (FCS) methods have been used to perform differential analysis. Most of these methods have been developed in the field of transcriptomics, to perform tests at a gene set level, but they can be easily extended to metabolomic pathway analy...
The customaryconfidencelevel in many statistical tests is 95%, leading to a customary significance level or p-value of 5%.1 Fast Fact “P-hacking” is the practice of exhaustively comparing many different data sets in search of a statistically significant result. The practice is frowned upon bec...
Statistical learning is a person’s ability to automatically learn environmental regularities through passive exposure. Since the earliest studies of
Equality of variances in a set of samples is an important pre-condition for parametric statistical tests, such as the ANOVA and t-test. Information from this preliminary test dictates whether parametric or non-parametric tests should be used. Most laboratories assume that the variances of their ...
Simple statistical tests are then used to evaluate associations between marker genotype status and the value of a trait. Carriers of a particular allele, for example, may have a mean value for the trait that is significantly different than the mean value of the trait in those who do not ...
Therefore, compared to control sequences of the same length, enrichment tests using the Chi-Square test often result in more significant results from ChIP-Seq. Multiple studies have demonstrated the improved motif enrichment under the peaks detected by ChIP-Seq compared to those found by ChIP-chip...