Sentence examples for compared by computing from inspiring English sources

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

Four actuation concepts for the active suppression of gearbox housing mesh frequency vibrations due to transmission error excitation from the gear pair system are modelled and compared by computing the required actuation forces and amplifier power spectra.

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.

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.

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.

With either approach, control- and tester-derived targets are co-hybridized to the microarray and control- and tester-derived signals are compared, often by computing the Log Ratio (LR) = log2 tester signal/control signal).

Using the Kaplan-Meier method, we estimated mortality risks in patients with pre-existing AF and non-AF patients and compared these by computing relative risks (RRs) through generalized linear regression analyses of pseudo observations [ 30, 32].

Different algorithms and parameter settings can be compared by ranking computed disparities between maps of computer-generated region boundaries and region boundaries from a common reference.

Given two models m1 and m2, one can compare them by computing the difference in their log-evidence ln p y | m1)- ln p y | m2).

In addition, we visualize the information captured in the extracted expression patterns from SPEX and the two systems we compare with, by computing the SVD of the expression patterns (Pan et al., 2006).