Partitioning a PPI Network into Overlapping Modules Constrained by High-Density and Periphery Tracking

<table>Variation of <svg height="10.325" id="M76" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 12.05 10.325" width="12.05" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,10.325)">
<g transform="translate(72,-63.74)">
<text transform="matrix(1,0,0,-1,-71.95,63.79)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝐹</tspan>
</text>
</g>
</g>
</svg>-measure with maximum overlapping score (used as a filtering parameter) for modules of size 3 or more generated by DPClusO, COACH, and CORE. The marked horizontal lines indicate <svg height="10.325" id="M77" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 12.05 10.325" width="12.05" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,10.325)">
<g transform="translate(72,-63.74)">
<text transform="matrix(1,0,0,-1,-71.95,63.79)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝐹</tspan>
</text>
</g>
</g>
</svg>-measures for three algorithms in case of no filtering.</table>

International Scholarly Research Notices

fig4

Figure 4

Figure 4: Partitioning a PPI Network into Overlapping Modules Constrained by High-Density and Periphery Tracking 