A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="763237.fig.003a" src="https://static.hindawi.com/articles/bmri/volume-2014/763237/figures/763237.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Linear regression validation</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="763237.fig.003b" src="https://static.hindawi.com/articles/bmri/volume-2014/763237/figures/763237.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Correlation computation</td></tr></table></td></tr></table>

<table>The execution times of linear regression validation and correlation computation by using the Hadoop MapReduce implementation and the sequential Java implementation, given different numbers of genes.</table>

BioMed Research International

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Figure 3

Figure 3: A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology 

Figure 3 | A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology 