The *Tabular* tab summarizes the results of a combination screen.
Several metrics of synergy are reported and their details are provided below. Our experience
has shown that no single metric is effective in characterizing synergy over a large number of cases and
that correlation between some of these metrics are relatively poor.

Clicking on NCGC ID's (columns **A** and **B**) will display an information box for the
compounds. Clicking on the heatmaps will display a larger version of the heatmap along with the information
boxes of the two compounds for that combination. Clicking on column headers will allow you to sort the entire
table by that column.

**MedianExcess**: The median of the sum of the differences between the combination responses and the single agent responses. More positive values are better**NumExcess**: The number of combinations in a block that show a better combination responses than*both*the corresponding single agents. Larger is better**Excess HSA**: The HSA (see below) model is computed and the differences between each combination in the block and the corresponding HSA value are summed. More negative values are better**ExcessCRX**: An extension of the 'Excess HSA' metric that takes into account dilution factors. These factors are based on the EC_{90}and EC_{10}values of the single agent curves. Since the single agent curves are derived from the individual blocks, they can be noisy and thus the EC_{90}and EC_{10}can be inaccurate, resulting in noisy values for this metric. See Lehar et al for more information**LS 3x3**: The sum of the deviations from the HSA model are evaluated on all 3x3 submatrices of the response matrix (excluding the single agent row and column) and the minimum value is reported as LS 3x3 (originally suggested by Louis Staudt.**Beta**: The parameter that minimizes the difference between the observed combination effect and that obtained fom the Bliss independence model. Values less than 1, greater than 1 and equal to 1 indicate synergy, antagonism and non-interaction respectively. See Cokol et al for more details**Gamma**: The parameter that minimizes the difference between the observed combination effect and Gaddums non-interaction model. Values less than 1, greater than 1 and equal to 1 indicate synergy, antagonism and non-interaction respectively. See Cokol et al for more details**DBSumNeg**: The sum of the negative deviations from the Bliss model. In practice this is simply the sum of the negative elements of the ΔBliss matrix**DBSumPos**: The sum of the positive deviations from the Bliss model. In practice this is simply the sum of the positive elements of the ΔBliss matrix**nDBSumNeg**: A normalized version of DBSumNeg, given by \(\frac{DBSumNeg}{(n-1)^2}\), where \(n\) is the dimension of the response matrix. Thus \(-1 \leq nDBSumNeg \leq 0\). This metric can be used to compare combinations across screens, as well as combinations of different sizes.**nDBSumPos**: A normalized version of DBSumPos, given by \(\frac{DBSumPos}{(n-1)^2}\), where \(n\) is the dimension of the response matrix. Thus \(0 \leq nDBSumPos \leq 1\). This metric can be used to compare combinations across screens, as well as combinations of different sizes.**Δ Bliss**- the excess over the Bliss model at each combination. More negative values indicate that the combination is better than the activity predictied by the Bliss model. A value of 0 indicates that the combination is no different from that predicted by the Bliss model