Sentence examples for degree of amplification from inspiring English sources

The degree of amplification depends on the width of the reaction zone, which in turn depends on the diameter of catalyst particle.

However, the degree of amplification of each amplicon sensitively responds to a small change in the annealing temperature, by which one can predict the actual annealing temperature of thermal cycling.

Examining Equation (26), the exponent value α controls the degree of amplification.

Strong motion varies greatly and depends on the degree of amplification by the subsurface ground structure, even for events of the same magnitude and with the same seismic wave propagation paths.

where α is a parameter within the range [0,1] that determines the degree of amplification, δ is a small positive constant that avoids the weighting factor becoming infinitely large as N[k]→0, and ε is a very small positive random variable such that the magnitude spectra of detected non-speech frames are significantly reduced.

The degree of amplification shows a bimodal distribution: either 3- to 10-fold, or 100- to 300-fold.

On the other hand, we observed various degrees of amplification bias in the S-WGA products, involving the 6 heterozygous SNPs in the non-amplified gDNA (Figure 2A and Figure S1).

MDM2 amplification occurs in 7% of human tumors with varying degrees of amplification between tumor types, such as liposarcoma (50 90%), osteosarcomas (16%), esophageal carcinomas (13%), and NSCLC (6%).

The 11qE1 region seems to be comprised of regions with varying degrees of amplification, starting from 102,146,284 to the end (121,647,795) (data not shown).

Three DNA extracts that produced varying degrees of amplification and sequencing success with regular Taq polymerase were chosen for initial rbcL optimization (primers 1F [ Fay et al., 1997] and 1460R [ Fay et al., 1998; Cuénoud et al., 2002]) with the KAPA3G Plant PCR Kit.

More recently, however, a study has indicated that the degree of confounding amplification (also termed "bias amplification" ) occurring between propensity score models appears to be quantitatively predictable (at least in simulation).