Sentence examples for matrix not only from inspiring English sources

The breakdown of the extracellular matrix not only creates a path of least resistance through which cancer cells can migrate but also gives rise to many biologically active molecules some that promote angiogenesis (the formation of new blood vessels) and others that attract additional cells to the site.

The breakdown of the extracellular matrix not only creates a path of least resistance through which cancer cells can migrate but also gives rise to many biologically active molecules some that promote angiogenesis and others that attract additional cells to the site.

Furthermore, valvular interstitial cells (VICs) are mechanosensitive, and their synthesis of extracellular matrix not only determines the valve's material properties but also provides an adhesive substrate for VICs.

Furthermore, the carbon nanofibers matrix not only enables fast access of ions but also grants the electrode with good conductivity and high mechanical flexibility.

This novel configuration of V2O5 particles in the TiO2 matrix not only prevents leaching of the catalyst but also improves the catalyst reusability.

Thus, principal components extracted from observing matrix not only represent the most difference of the calibration spectra, but also relate to the concentration data as closely as possible.

This indicated that inactive matrices not only endured the stress caused by volume expansion of Li-Si alloy but also provided a good electron path as a conductor.

In this paper, we study the robust partial eigenvalue assignment problem using state feedback control in second-order control systems, which means that the feedback control matrices not only assign specific eigenvalues to the second-order closed-loop system, but also that the system is robust, or insensitive to perturbations in the coefficient matrices.

This is because the TA-matrix not only accounts for the Mendelian sampling term, but also puts the greater emphasis on those markers that explain more of the genetic variance in the trait.

The G-matrix not only describes how much additive genetic variance is present in a given trait, but also how much of this variance is tied up as covariance with other trait(s).

The correlation matrices not only provide a means to visualize sample heterogeneity, but also allowed us to define a most parsimonious set of blocks for each region for the purpose of data normalization.