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DNA Microarray Image Analysis - University of Illinois at Urbana ...

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Normaliz<strong>at</strong>ion<br />

• Normaliz<strong>at</strong>ion using control spots<br />

— insert spots <strong>of</strong> known intensities or genes <strong>of</strong> known expression level<br />

into a microarray slide<br />

• Normaliz<strong>at</strong>ion using regression analyses<br />

— within-slide normaliz<strong>at</strong>ion (loc<strong>at</strong>ion or scale),<br />

– (a) loc<strong>at</strong>ion global normaliz<strong>at</strong>ion (log(red/green) – normaliz<strong>at</strong>ion<br />

factor)<br />

– (b) loc<strong>at</strong>ion intensity dependent normaliz<strong>at</strong>ion (log(red/green) –<br />

normaliz<strong>at</strong>ion factor as a function <strong>of</strong> spot intensity),<br />

– (c) loc<strong>at</strong>ion within-print-tip-group normaliz<strong>at</strong>ion (log(red/green) –<br />

grid dependent normaliz<strong>at</strong>ion factor as a function <strong>of</strong> spot<br />

intensity) and<br />

– (d) scale normaliz<strong>at</strong>ion (modeling spread <strong>of</strong> various print-tip<br />

groups)<br />

— paired-slide normaliz<strong>at</strong>ion (dye-swap),<br />

— multiple slide normaliz<strong>at</strong>ion<br />

82

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