Sentence examples for call are generated from inspiring English sources
Fluorescent data from each PM-MM pair is analyzed by the Affymetrix MAS 5.0 software and a single value for signal intensity, detection p-value and detection call are generated for each probeset.
A Fast Fourier frequency spectrum of the middle 0.5 s of the call was generated (bandwidth = 200 Hz), from which the first two formant frequency locations were extracted by LPC-smoothing without pre-emphasis.
If no consensus genotype could be determined, a "no call" was generated.
The prerecorded advertisement call was generated by using averaged call values from the studied population (call duration, 2.6 s; note number, 21; mean frequency, 4.6 kHz; intercall interval, 7.4 s).
Calls are generated based on Poisson arrival rate and a simple admission control is applied in order to prevent users from gathering in a few cells.
In the first ensemble, the time stamps of all calls are generated uniformly at random over the complete time range, in order to remove the system-level call frequency pattern (daily and weekly pattern).
We assume that the number of calls are generated through a heterogeneous Poisson distribution (operatorname{Pois}(N,lambda(t))), with the rate value that is a function of time (lambda(t)), as shown in Equation (9).
Based on the clusters of paired-end signatures, the SV calls are generated and the location of breakpoints is estimated.
SV calls are generated by SVDetect using paired-end signatures (blue and purple boxes represent paired-mates).
The majority of false positive mutation calls are generated from mismapped reads, for example, paralogs were mistakenly mapped to a single locus.
