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Therefore, the association between gene expression and phenotypic trait may be better analyzed using the individual quantitative measurements.
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This issue will be better analyzed in future papers.
The sequence regions matching the HMM with E-values better than 10 were analyzed using CLANS.
These results were further analyzed using CONSEL [55].
Regions matching the HMM with E-values better than 10 were extracted and analyzed using the pairwise sequence similarity visualization and analysis program CLANS [56], [57].
The parameters like patch length, width and feed position at centre frequency of 1.95 GHz using Sonnet13.52 have been analyzed using PSO which gives better and faster results.
Differentially expressed genes were analyzed using the limma package, where empirical Bayes was used to better estimate the variance of the genes.
Here, only negative data were analyzed using similar optimized parameters, for reasons of better predictability without need for use of authentic standards [14, 30].
ΔΨm was analyzed using JC-1.
Movies were analyzed using ImageJ.
Data were analyzed using bioconductor [77].
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