Sentence examples for sample comparison and from inspiring English sources

Statistical significance was determined by one-tailed t test assuming unequal variance for two sample comparison and by one-way analysis of variance (ANOVA) followed by Tukey's honestly significant difference (HSD) test for multiple sample comparisons.

Student's t-test was used for sample comparison, and the software package Statgraphics Plus version 5.0 was used (Statistical Graphics Corp., Manugistic Inc., Rockville, MD, USA).

It has the advantage of being rapid, reproducible, and quantifiable, allows direct sample comparison, and can analyze a wide range of proteins (Petricoin and Liotta 2004).

Exome sequencing is typically used to identify single nucleotide polymorphisms (SNPs), somatic mutations (through paired sample comparison), and small and large structural variations.

4 Population means were compared using the z-test for large sample comparison and t testing for comparison of results at each INR value.

Nevertheless, this enormous catalog is potentially a powerful resource for sample comparison and identification, as it provides much higher probability that genotype data at overlapping markers can be learned.

Normalized signals were used for class comparisons of variance by two-way t-tests for two sample comparisons and parametric univariate F-tests for multiple sample comparisons (p<0.001, FDRs<2%; BRB-ArrayTools, (http://linus.nci.nih.gov/BRB-ArrayTools.html) to identify significantly differentially expressed genes.

A regression line with slope 1 was calculated in R for all pairwise sample comparisons and the deviation from each data point to this line (residual) was used to estimate the fold change between two samples.

cPerianez JA, Rios-Lago M, Rodriguez-Sanchez JM, Adrover-Roig D, Sanchez-Cubillo I, Crespo-Facorro B, Quemada JI, Barcelo F: Trail Making Test in traumatic brain injury, schizophrenia, and normal ageing: sample comparisons and normative data.

For comparisons with our dynamic methods, we examined several popular static methods, including Fisher's exact test for simple two sample comparisons and log linear model for multigroup comparison, which can also be applied for RNA-seq time series data in temporal analysis as intuitive but limited.

The statistical significance was evaluated using t tests for two-sample comparison and one-way analysis of variance (ANOVA) followed by Duncan test.