Sentence examples for matrix approximation approach from inspiring English sources

The matrix approximation approach is based on the concept that most gene pairs in the large-scale genetic interaction screens have no significant interaction with each other, suggesting that the double-mutant fitness matrix W alone should carry enough information for the estimation of the vector w of single-mutant fitness effects under an appropriate null model (see Methods for details).

When using a banded channel matrix approximation, the frequency-domain approach performs much better than the time-domain approach because we have ε<1 for this type of channel.

More generally, the computational approach based on the sequential matrix approximation can provide a principled framework for exploring and classifying genetic networks and interactions using a wide spectrum of global data sources, including the localization, mRNA or protein expression, physical interaction and functional annotation of the proteins encoded by the genes [19].

In this context, we derive an analytical form of HUB by employing an approximation approach based on the estimation of probability density function of trace of Hadamard product of two matrices, i.e., G and Ω.

Using this approach, the sparse and smooth CCA algorithms proposed differ only in the penalty used in the penalized rank-1 matrix approximation.

SAX is a time series approximation approach.

For this reason, an approximation approach [18] is employed.

A tiered approximation approach is used for speed and robustness.

Recent work on fast matrix approximation may help speed up these calculations and save memory capacities [34], [35].

Hence, the approximation approach is likely to yield even better results with larger and unbiased datasets.

ROL and VPE developed and implemented the matrix approximation method.