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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.
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.
#Those mRNAs that were also subject to translational upregulation in the thermal stress dataset (37°C, 60 min).
Of the individual methods, HMM2 was overall best but it notably underperformed on the cold stress dataset.
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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.
For leaf and stress datasets, the HRR for each dataset are separated by a '/'.
Table 3 summarizes the performance of the tested methods for yeast stress datasets.
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