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Each sample was compared with P-FePc-py-CNT in a hybrid H2/O2 fuel cell.
Each sample was compared with the corresponding interval to identify regions that showed non-random variation frequencies (Figure 2A).
To identify the binding media, the relative percentage content of amino acids in each sample was compared to those from a dataset of samples of egg, casein and animal glue.
Each sample was compared to the standard sample B-190 of the same run.
To diagnose symbiont identity, the DGGE fingerprint for each sample was compared to ITS2 standards of known nucleotide sequences.
The absorbance of each sample was compared to that obtained from siblings from the same culture vial to control for parental and culture dependent effects.
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Genes with unexpectedly high or low values, compared to their mean values, are classed as 1 or −1 respectively, using the method of Quackenbush [31], where each sample is compared to the mean of all samples in the dataset.
Because some of the reliability rules require that data from each sample be compared to data from other samples at the same position, it is recommended that a minimum of 15 microarrays be analyzed together for optimal algorithm performance.
Gene expression data of each sample were compared to the CupPrint database.
RNA-seq reads of each sample were compared and mapped against the chameleon mRNA sequence compendium.
In the loop design, each sample is compared directly with other samples in a multiple-pairwise (circular) way.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com