Using ANOVA to analyze microarray data
GA Churchill - Biotechniques, 2004 - Future Science
Biotechniques, 2004•Future Science
Figure 1. A microarray experiment design for a two-factor experiment. The first factor is
STRAIN with levels DBA, PERA, and I. The second factor is DIET with levels Low and High.
Liver RNA samples from individual mice were assayed on a two-color microarray platform
using direct “dye-swap” comparisons as indicated by the double-headed arrows. The entire
experiment was run twice using samples from a total of 12 individual mice and 28
microarrays. Each microarray has two color channels, thus each gene generates a total of …
STRAIN with levels DBA, PERA, and I. The second factor is DIET with levels Low and High.
Liver RNA samples from individual mice were assayed on a two-color microarray platform
using direct “dye-swap” comparisons as indicated by the double-headed arrows. The entire
experiment was run twice using samples from a total of 12 individual mice and 28
microarrays. Each microarray has two color channels, thus each gene generates a total of …
Figure 1. A microarray experiment design for a two-factor experiment. The first factor is STRAIN with levels DBA, PERA, and I. The second factor is DIET with levels Low and High. Liver RNA samples from individual mice were assayed on a two-color microarray platform using direct “dye-swap” comparisons as indicated by the double-headed arrows. The entire experiment was run twice using samples from a total of 12 individual mice and 28 microarrays. Each microarray has two color channels, thus each gene generates a total of 56 data points.
Future Science