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The tetramers compactness could be compared by computing the volume of the tetrahedron defined by the geometric centers of the four pyrazole rings.

In this multidimensional space, the direction of two vectors can be compared by computing the inner product of the two vector elements that provides an estimate of the correlation R between the two vectors.

The OLS bias is The instrumental variable bias is These biases can be compared by computing the ratio of covariate imbalance across the actual treatment and instrument: If the ratio on the left (known as the prevalence difference ratio) is larger than the term on the right (the strength of the instrument), then the instrumental variable bias is likely to be larger than the OLS bias.

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In the first comparative study, the state variables (the enzyme CadA, the model cadBA, the cadaverine Cadav and the lysine Lys for a model of the Cad System in Escherichia coli (CSEC)) are estimated from noisy measurements of these variables, and the various estimation techniques are compared by computing the estimation root mean square error (RMSE) with respect to the noise-free data.

In the first comparative study, the state variables (the enzyme CadA, the transport protein CadB, the regulatory protein CadC and lysine Lys for a model of the Cad System in E. coli (CSEC)) are estimated from noisy measurements of these variables, and the various estimation techniques are compared by computing the estimation root mean square error (RMSE) with respect to the noise-free data.

Immunoprecipitated Htt and ubiquitin levels were compared by computing the ratio of the density of the band in the presence of Happ1 to the density of the band in the presence of VL12.3.

Effects of various modifications to the model were compared by computing a "Selectivity Index" that measured the relative magnitude of the response to the preferred direction: Selectivity Index = (response to preferred direction−average of all other responses)/(response to preferred direction).

Distribution in both lungs was compared by computing absolute differences between left and right scores.

Conventional and bootstrap standard errors were compared by computing ratios between the estimates.

The two curves were compared by computing the areas under the ROC curves [ 12, 13].

The volumes were compared by computing autothresholded volumes using the 40% of the maximum SUV criterion.

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