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This approach also allowed transcriptome mapping independent of the comparison between reference and stress datasets.
Interestingly, our analysis of metabolic pathways identified a significant positive correlation in pathway variation between the development and abiotic stress datasets (Figure 4).
I also measured gene expression variation in developmental and abiotic stress datasets to allow comparison with other publications focused on gene duplication and divergence of response patterns.
Table 3 summarizes the performance of the tested methods for yeast stress datasets.
For leaf and stress datasets, the HRR for each dataset are separated by a '/'.
They also take an intermediate position between the "light" and the "stress" datasets.
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Interestingly, we also noted the cold depend induction of OsCDPK7 in the abiotic stress dataset based analysis and provides a hint about more potential candidates in the featured groups.
Results from weighted gene coexpression network analysis produced six distinct modules from the abiotic stress dataset.
The tendency shown in the lung cancer dataset is similar to that shown in the yeast stress dataset.
Seed biclusters of BICLIC covered 90.5% of genes, 100% of conditions, and 10.9% of cells in the yeast stress dataset.
The number of found biclusters after each biclustering method was applied to the yeast stress dataset is reported.
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