The software "Synthesis-View" has been developed to visually synthesize multiple pieces of information of interest from these studies with the flexibility to perform multiple types of data comparisons.
The image processing program ImageJ helps in multiple imaging system data comparisons taking density (densitometry) into consideration to analyze the images.
Both remedial and advanced tasks can be simplified with the help of the user interface application, such as quality assurance/quality control (QA/QC) calculations, application of correction and conversion factors, retrieval of desired data for advanced analysis, and data comparisons among multiple study sites.
However through iterative cross comparisons of multiple data sources, the robustness of our findings were strengthened.
The use of multiple data sources allowed for a comparison of resource estimates, while the modeling of meteorological data enabled the investigation of panel orientation and inclination.
Our analysis of all data further shows that this is a general trend across all seven recorded mice (See Table 1, where absolute distances were normalized by the standard deviation corresponding to the Rest cluster to allow for uniform comparison across multiple data sets).
For comparison of multiple data sets in one analysis, a one-way analysis of variance (ANOVA) was used.
For example, the impact of copy number variation and other genomic variants on the expressed transcriptome is an area that requires simultaneous comparison of multiple data sets.
Individual comparisons were made by one-way ANOVA for multiple comparison data, and p values less than 0.05 were considered to be statistically different and p values less than 0.01 to be significantly different.
