To remove position effects, raw values from each well were normalized to the median well of their respective row using the siMacro found at (http://sourceforge.net). To control for contamination and technical issues the top 5% of outliers with the highest coefficient of variation among triplicates were removed. Outliers were defined as wells with the largest distance among triplicate values. Normalized data was log2 transformed for proper distribution of sensitizers and resistors and a ratio of infected over mock infected was obtained. To control for batch effects, Z-Scores were calculated using batch specific variance where for each siRNA pool i Zi = xi-mbatch/sbatch, where x is the raw data to be normalized, m is the mean of the batch population, and s is the standard deviation of the batch population.