Sentence examples for random cutoff from inspiring English sources

Additionally, a mild low-pass filter can be added with a slightly random cutoff frequency for each note triggering in order to reduce the sample repetitiveness.

We then picked a random cutoff (starting at 0.1) and computed its performance in calling 'T' and 'F' interactions; the cutoff was then incremented by 0.01 and the process repeated.

A cutoff random non-fasting blood glucose level of 7.8 mmol/L (140 mg/dL) was used to define hyperglycemia, and a cutoff random non-fasting blood glucose level of 11.1 mmol/L (200 mg/dL) was used to define severe hyperglycemia.

To exclude the possibility of accidental encounter of peaks (random synchronization) different cutoffs of synchronization were calculated for the control and treatment period of every coverslip.

Area under the receiver operating characteristic (ROC) curve was 0.800 955% CI, 0.598 0.929; P = 0.0006), indicating the ability of the maximal level of usRNA under therapy to correctly predict VR in 80% of random cases, and the cutoff value of usRNA was 3.43 log10 copies/µg total RNA (∼2700 copies/µg total RNA).

We did not choose the 80% cutoff at random to separate both areas.

For example, when analyzing 200 compounds, we would expect to see about 10 compounds meeting the P⩽0.05 cutoff by random chance.

DEGs between control and Smg6Δ/Δ ESC samples were determined using R-package DEGseq with the method MARS (MA-plot-based method with random sampling model), fold change cutoff = 2, P-value cutoff = 10−6, and absolute change bigger than 50 reads (Wang et al, 2010).

The initial or pump waves have random phase distribution with the cutoff wavenumber set to 20% of the inertial length wavenumber ((frac {|vec {k}| V_{mathrm {A}}}{Omega _{mathrm {p}}} < 0.2), where Ω p and V A denote the ion gyrofrequency and Alfvén speed, respectively).

DEGs were determined using the R-package DEGseq with the method MARS (MA-plot-based method with random sampling model), P value cutoff = 0.001.

It was found that in general there is little difference in the number of false positives found with a given cutoff when using random databases of the same size.