The non-significant genes are shown in yellow. Values with significantly high relative transcript abundances shown in red and significantly low relative transcript abundances shown in green. The statistical analysis was performed with an ANOVA followed by the Student Newman–Keuls test. (Figure 4 B) Values of relative transcript abundance in callus of the various lines were analysed with XLSTAT software after log transformation. ![]() (Figure 4 A) Heat map representation of the expression profile was used for values ranging as follows ≥ 1, 10 -1, 10 -2, 10 -3 and ≤ 10 −4 from dark to light green. Values are the means of the relative transcript abundance of three biological replicates. transform given by Equations (10) and (12), log for the natural logarithm. The following examples show how to perform these. In the context of data fusion, the Fourier transform, and the FFT in par. By performing these transformations, the data typically becomes closer to normally distributed. Cube Root Transformation: Transform the values from y to y1/3. If we are carrying out an ANOVA and the scale-location plot exhibits a positive. The following tables compare general and technical information for a number of statistical analysis packages. Square Root Transformation: Transform the values from y to y. Log transformation, as weve just seen, affects the data in two ways. Multivariate analysis was carried out using the XLSTAT software package. Log Transformation: Transform the values from y to log (y). The relative transcript abundances were measured by real-time RT-PCR. If the data were not normally distributed, log transformation was used prior. Calli were from three types of lines: (NE) non-embryogenic line (CI04115), (E) embryogenic and non-regenerant line (CI04106), and (R) regenerant line (CI07060). All statistical analyses were performed using the XLSTAT software V.7.5.2 (2007). We simply transform the dependent variable and fit linear regression models like this. ![]() When the homogeneity assumption fails, Welchs ANOVA is often. the normality assumption and were, therefore, log transformed (MLS). The natural log transformation is often used to model nonnegative, skewed dependent variables such as wages or cholesterol. Expression profile of 142 genes involved in the ethylene biosynthesis and signalling pathways for callus with different embryogenic capacities grown for 4 weeks on somatic embryogenesis expression medium (EXP). This is also the case when a transformation can be used to meet the ANOVA assumptions.
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