Sentence examples for matrices and compare from inspiring English sources

In order to create matrices and compare insertion sites among samples it was necessary to determine which insertion sites were conserved among strains.

We evaluated the biological response of cells cultured on the different matrices and compared them to cells on standard TCPS.

The validated method of molecularly imprinted solid-phase extraction (MISPE) cartridge was successfully applied to the food matrices and compared with commercial sorbent (RP18 and Oasis HLB).

Thiscomputer coding of the proposed method is much eaimer than the classisal vibration analysis methods for similar analyses which makes it more apursuedate in implementation.

Here, we investigated the activity of freshly manufactured particles in solution and in fibrin matrices and compared the results with the activity measured after long time storage at 4 °C (Fig. 4).

We also evaluated different types of chemical and genomic kernels captured by pairwise drug drug and target target similarity matrices and compared these with the model using no similarity information (δ kernel).

To do so, we applied Neighbor-Joining [ 36] to the distance matrices and compared the resulting trees to the corresponding reference tree, using the Robinson-Foulds (RF) metric [ 52].

We fitted a mixed linear model as in [ 15] including a GRM and the similarity matrix (Geo), estimated using GCTA [ 16] the proportion of the phenotypic variance captured by each of these matrices, and compared them when including or not the current area of residence as a fixed effect.

It was, thus, possible to develop the evaluation matrix and compare the profiles of the eight neighbourhoods according to an ex post evaluation approach.

We present some lower bounds for the Frobenius condition number of a positive definite matrix depending on trace, determinant, and Frobenius norm of a positive definite matrix and compare these results with other results.

In order to distinguish between signal and noise eigenvalues for moving sources conditions, we approximate the decreasing profile of the eigenvalues of the noise spatial correlation matrix, and compare this to the profile of the observed eigenvalues of.