Exact(3)
Following amplification by LM-PCR, and fluorescent (Cy3 or Cy5) labeling, two microarray-based hybridizations were performed: the first compared McrBC-treated sample A with the control sample C, and the second compared RE-mix-treated RE-mix-treated RE-mix-treatedl.
The first analysis compared direct, indirect or no social contact, and the second compared target groups.
However, the nonlinearity in the exponential decay results in a greater disparity between the relative peak height of the first transient and the second compared to all the subsequent adjacent peaks.
Similar(56)
The first compares a DMU to the others at a specified time and the second compares a DMU with itself at different times.
Similarly, two GSEA-formatted datasets were created from the Illumina expression data: the first dataset compares the two phenotypes (WT +R5020 versus WT -R5020), and the second compares the two phenotypes (KR +R5020 versus KR -R5020).
The first of these studies investigates the QOL in ICU survivors 18 months post discharge, and the second compares the QOL 1 year and 6 years post ICU discharge.
We also constructed two LRTs based on branch models, the first compares one ratio model (M0, assumes the same ω ratio for all branches) with the free-ratios model (allows an independent ω ratio for each branch) and the second compares model M0 with the two-ratio model (assumes a ω ratio for foreground branch different from that of background branch).
The third T-test, comparing the subgroup of cases of isolated hydrocephalus to the control population, and the fourth, comparing complex and isolated fetal hydrocephalus cases, showed no significant differences.
The second uses SOLiD sequencing to compare mouse embryonic stem cells and embryoid bodies [ 5] and the third compares Illumina sequencing with Affymetrix microarrays in a human liver and kidney sample [ 6].
The second check calculates the average number of samples failing the Kolmogorov-Smirnov normality test (P = 0.05) and the third compares the number of genes beyond the 0.95 probability interval to the number of genes outside the interval corresponding to 1.96 standard deviations (0.95 probability interval of the normal distribution with the same mean and standard deviation).
The second reliability check calculates the average number of samples failing the Kolmogorov-Smirnov normality test (P = 0.05) and the third compares the number of genes beyond the 0.95 probability interval to the number, corresponding to the same interval of the normal distribution with the same mean and standard deviation.
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