Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="624371.fig.008a" src="https://static.hindawi.com/articles/tswj/volume-2014/624371/figures/624371.fig.008a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Sample curves</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="624371.fig.008b" src="https://static.hindawi.com/articles/tswj/volume-2014/624371/figures/624371.fig.008b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Time curves</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="624371.fig.008c" src="https://static.hindawi.com/articles/tswj/volume-2014/624371/figures/624371.fig.008c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Gene curves</td></tr></table></td></tr></table>

<table>Graphical representation for tricluster TC<sub>20</sub> found in the Mouse GSD4510 Dataset.</table>

The Scientific World Journal

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Figure 8

Figure 8: Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure 