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The OD method provides the user with the ability to potentially detect gene expression dysregulation events shared between several samples.
The outputs of these systems include functional distributions of each sample by hierarchical classification using KEGG and/or SEED and comparisons between several samples when necessary.
In the previous section, co-clustering of large concatenates allowed comparisons between several samples, but large experiments, particularly clinical studies, often generate thousands of samples that include hundreds of millions of cells.
Our results demonstrated a moderate differentiation between sativa and sylvestris compartments, even though a connection between several samples of both subspecies may be assumed for the occurrence of cross hybridization events among native wild populations and the cultivated accessions.
The degree of change in metabolite abundance between several samples is expressed as hue of the compound symbols drawn on the KEGG pathway maps, based on the compound IDs assigned.
After background and threshold subtraction, the values were averaged between several samples of each genotype (considering left and right sides separately, for the number of spinal cord sides used, for each plot indicated in the corresponding figures) to generate an average signal distribution plot.
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The absolute call (present, marginal, absent) and average difference of 22,215 gene expressions in a sample, and the absolute call difference, fold change, average difference of gene expressions between two or several samples were normalized and identified using these software.
Since no DENV-1 specific reads were detected at the titer of 1X10, it was determined that the effective LoD for 454 sequencing using this protocol must lie between 1X10 and 1X10, and so several samples were prepared within this range (1X102.3, 1X102.5, and 1X102.7).
On the other hand, there were several samples with conflicting results between the RASKET KIT and the reference assays.
The ClearType Text Tuner works much like an exam in an eye doctor's office, where you choose your preference between several type samples.
Friedman test is non-parametric statistical test for assessing the difference between several related samples.
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