Sentence examples for array model for from inspiring English sources

The SciDB project advocates a new data model (i.e., the multidimensional array model) for scientific domains and releases a prototype that enables parallel processing of data in a highly distributed environment.

That is why the array model described for instance in [3] and [11] is not adopted herea.

For a single-element model, the simulation gives an axial ratio bandwidth (<3dB) of about 0.85% (10.8 MHz), which is consistent with the bandwidth measured for the measured fabricated model of 0.82% (10.4 MHz) and 0.91% (11.6 MHz) simulated for an antenna array model.

In the near-field (NF) of an array, the range information should be integrated into the array signal model for accurately characterizing sources [3].

We processed the probe expression values using the robust multi-array average (RMA) model for convolution background correction, quantile normalization and summarization [ 106, 107].

Measurements in the projected plane are reconciled with a model for array distortion under the constraint imparted by the geometry, and the influence of geometry is examined with respect to the two-dimensional (2D) array basis vectors.

We used X-linked array features as a model for duplication and studied three Drosophilid species for which full genome sequence was available.

A global scaling procedure was performed to normalize different arrays using dChip software, which incorporates a statistical model for expression array data at the probe level.

The main rationale for using multi-array models (Li and Wong, 2001), was removed when Affymetrix designed the newer arrays to have identically replicated SNP probes.

For mRNA expression arrays, a generalized linear model for microarray by limma (Bioconductor [ 32]) was used.

We assume that we use arrays with 1 M markers for models A and B. To be able to capture rare variants, we assume 10 M-marker arrays for model D, and 100M-marker arrays for model E. Figure 4 shows the expected number of causal variants that will be discovered as a function of the number of cases in a case-control study, with equal number of controls.