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Multi experiment viewer.
Clustering analysis was performed by loading Log10 transcription ratios into TM4 Multi experiment Viewer (MeV) software [ 62].
Principle component analysis was run using TMev: Multi Experiment Viewer [ 81] on logarithmically normalized data (base 10).
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If this is carried out in two or more separate experiments, one derives multi-stimuli multi-experiment data.
In contrast to a previous version, the inference considers multi-stimuli multi-experiment data and contains different methods for integrating prior knowledge.
Network inference of multi-stimuli (TGF-beta1 and BMP2) multi-experiment data.
Analyses were performed using the program Mev4 (multi-experiment viewer; PMID 12613259).
Multi-experiment Viewer (TMeV) was used to perform hierarchical clustering, using the standard Pearsons and a distance of 0.28.
The Multi-Experiment Viewer software from the TIGR website [ 84] was used to cluster similarly expressed genes using Hierarchical clustering [ 85].
Heatmaps of different sets of the differentially expressed genes were created using average Pearson correlation and average linkage method implemented by the Multi-Experiment Viewer.
PW is a comprehensive framework for data-based modeling in Systems Biology comprising multi-experiment fitting in normal and logarithmic parameter space.
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