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Identifying differentially expressed genes between various samples is crucial to elucidating biological response mechanisms under a particular condition.
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Clearly, differences between various samples are significant in the photon counts distribution.
Differential RNA expressions between various samples were calculated using GAPDH as an internal control.
When various samples are used to study one particular hypothesis, the problem of heterogeneity between samples emerges.
Observing what and how many OGF are shared (or not) between various samples may be a first step for a biodiversity study.
To distinguish rapidly between various samples, flavonoids were extracted from flowers by immersing (without crushing the tissue) in solvents (HPLC method, we investigation for a patent RO122836-B1).
To quantify the difference in surface roughness between various samples, two parameters were obtained during data analysis, including roughness average (R a) (Fig. 5a) and root mean square (RMS) roughness (R q) (Fig. 5b) (Lungan et al. 2015).
Transcript levels between various RNA samples were normalized using 16S rRNA.
The use of the magnitude estimation scale for hedonic responses has been exhaustively studied, but the use of the hedonic scale, adjusted to allow for the comparison between various samples and a reference, has not been reported.
The results reported are expected to be useful for future n.i.r.-FTRaman studies of PAN in order to interpret the differences that should be observed between various samples.
The FTIR spectra differences between various samples in the amide-I region were mainly relatesd to the different orientations and conformations of the polypeptide chains affected by the incorporation of ZnO NRs.
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