Sentence examples for more sensitive estimation from inspiring English sources

Although the use of artificial neural networks (ANNs) has allowed significant progress in the estimation of suspended loads, there is still a need for more sensitive estimation methods.

In an effort to improve on these current limitations we have engineered an alternative and possibly more sensitive 'seed' estimation method that utilises a Bayesian likelihood approach to estimate the probability that a 'seed' motif is over-represented within a differentially expressed gene profile.

Solexa sequencing has been documented to be more sensitive for estimation of gene expression, especially for low-abundance transcripts compared to microarrays and Real-time RT-PCR [ 30].

Then, the error is computed showing that the surface-based estimation is more sensitive than the estimation using interior voxels (see Figure 5).

We have shown that the EIS is more sensitive for parameter estimation and model discrimination than a steady state response.

It is shown that the BER performance with imperfect self-information removal for the higher becomes more sensitive to the estimation errors.

Illumina sequencing has been documented to be more sensitive for the estimation of gene expression, particularly for low-abundance transcripts, compared with microarrays and qRT-PCR [ 26].

The estimation of locus-specific dropout rates is more sensitive to inaccurate estimates of allele frequencies because the estimated accuracy of a locus-specific rate relies on the estimation of allele frequencies at that particular locus.

(E) Based on a comparison of the variance of the reflectivity errors with that of the velocity errors, it can be inferred that the phase estimation is more sensitive to noise than the amplitude estimation.

The figure shows that the BER performance with imperfect knowledge of CSI at the destination and relay terminals is sensitive on the channel estimation error variance depending on the level of ; for higher value of, the system becomes more sensitive to the channel estimation error.

Two-dimensional diffraction measurement is a much more sensitive tool for the estimation of relaxation degree.