Sentence examples for between the compared samples from inspiring English sources
The transcript abundance of certain genes in the mosquito carcass could reflect an averaging of gene expression levels across a variety of tissues and organs and therefore result in a lack of difference between the compared samples, whereas the cell line is likely a more homogenous, simpler and more sensitive system.
Genes that exhibited differential expression of 2-fold or greater between the compared samples were considered to be significantly enriched in either one of the samples.
P values of less than 0.05 were considered statistically significant between the compared samples and are indicated by the symbol for P < 0.05, by for P < 0.01, or by for P < 0.001 in respective figures.
Only genes whose residuals between the compared sample pairs were significantly higher than the measured noise level were considered differentially expressed.
After comparing the known miRNAs abundance between two samples (treatment vs. control), log2-ratio scatter plot figures were plotted between the two compared samples with p-value < 0.05.
For all imaging experiments, exposure settings were identical between compared samples.
The heatmaps and dendrograms of sample relations were used to evaluate the distances or degree of relationship between the compared experimental samples: SSCs, hESCs, and htFbs by calculating the whole assessed transcriptome, features with highest variance, or features with highest discrimination power.
Detection Gapdh or the 36B4 signals between compared sample sets rarely differed by more than one or two cycles.
The statistical methods and the machine learning algorithms that are routinely used for gene selection mainly identify the differentially expressed genes (DEGs) according to the changes of the gene expression levels between the compared biological samples.
Consequently, the DEG list generated by the statistical methods or the machine learning algorithms often involves a number of false positive genes, which are not associated with the phenotypic differences between the compared clinical samples, and subsequently impacts the reliability of the predictive models.
The a priori statistical power of the gene expression dataset was measured as the probability of obtaining statistical significance when true biological differences exist between the compared groups of samples (1 - β; true positive rate).
