The KM-Algorithm Identifies Regulated Genes in Time Series Expression Data

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</svg></span></td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left"> Complete data set</td><td align="center"> 0.0421</td><td align="center"> 0.1543</td><td align="center"> 0.6434</td></tr><tr><td align="left">Partitioning method</td><td align="center"> 0.2012</td><td align="center"> 0.2982</td><td align="center"> 0.5349</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The “goodness of rank" (GR) measure results for gene ranking obtained by applying the KM-algorithm to the complete and partitioned data sets with <svg height="10.9125" id="M130" style="vertical-align:-0.17555pt" version="1.1" viewbox="0 0 58.537498 10.9125" width="58.537498" xmlns="http://www.w3.org/2000/svg">
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Advances in Bioinformatics

tab2

Table 2

Table 2: The KM-Algorithm Identifies Regulated Genes in Time Series Expression Data 