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

<table>Averaged regulation criterion for five applications of the KM-algorithm as applied to simulated data with <svg height="10.9125" id="M91" 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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<tspan style="font-size: 12.50px; " x="0" y="0">𝑛</tspan>
<tspan style="font-size: 12.50px; " x="9.6773224" y="0">=</tspan>
<tspan style="font-size: 12.50px; " x="21.71771" y="0">1</tspan>
<tspan style="font-size: 12.50px; " x="27.969212" y="0">0</tspan>
<tspan style="font-size: 12.50px; " x="34.220711" y="0">0</tspan>
<tspan style="font-size: 12.50px; " x="40.47221" y="0">0</tspan>
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</svg> genes at <svg height="10.9125" id="M92" style="vertical-align:-0.17555pt" version="1.1" viewbox="0 0 51.549999 10.9125" width="51.549999" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝑇</tspan>
<tspan style="font-size: 12.50px; " x="10.339981" y="0">=</tspan>
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<tspan style="font-size: 12.50px; " x="28.63187" y="0">0</tspan>
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</svg> time points. Regulated genes are plotted as red stars and unregulated genes as black dots.</table>

Advances in Bioinformatics

fig1

Figure 1

Figure 1: The KM-Algorithm Identifies Regulated Genes in Time Series Expression Data 