Statistical Analysis of Efficient Unbalanced Factorial Designs for Two-Color Microarray Experiments

Table 1

Classical ANOVA of log intensities for duplicated A-loop design component of Figure 2 for any particular gene using (1).

Source			Mean square	Expected mean square
Inoculate
Time
Inoculate^*time
Dye
Rep(inoculate^*time)
Array(time)
Error

^*Sums of squares.
^†Degrees of freedom.
^‡ is the noncentrality parameter for factor . For example, when , there are no overall mean inoculate differences such that inoculate and Rep(inoculate^*time) have the same expected mean square and is a random draw from an F distribution with numerator and denominator degrees of freedom.