Sentence examples for the implementation contains from inspiring English sources

Along with the open source R-code, the implementation contains documentation of the data format for the input data, the parameters of the various options, as well the output data of the QMAP (Additional File 8).

The implementation contains two options for prediction: 1) Prediction using the local regression model calibrated in the most probable cluster, and 2) Prediction using a weighted sum of the local regression models, using the estimated cluster membership values as weights.

As shown in Figure 3, the FPGA implementation contains three main parts - the M4k memory blocks to store the low-resolution frames and the resulting high-resolution frame, the control logic, and the floating point pixel calculation module constructed from single precision, 32-bit floating point operators.

The full implementation contains 32 classes and 1517 physical source lines of code (SLOC), excluding utilities and debugging functionality.

The current BitSeq implementation contains the option of using a uniform read density model or using the model proposed by Roberts et al. (2011) which can account for positional and sequence bias.

The current DENdb implementation contains enhancers predicted by five different methods and integrates regulatory-based information based on the data from five other sources.

Graphics could also be optimized using CSS sprites, etc. Regarding caching the LiU EEE implementation contains a rudimentary in-memory cache but can also be configured to use Memcache if such servers are available.

However, the existing lattice Boltzmann magnetohydrodynamic implementation contains a spurious term in the evolution equation for the magnetic field that violates the divergence-free condition when the relaxation time varies in space.

A shell s(a i ) l in our implementation contains the canonically sorted set of topological neighbors of atom a i at a distance t ij = l.

We use the igraph implementation contained in the R package [ 45] to identify gene modules and protein submodules.

In reality, an actual learning space in an ALEKS implementation contains roughly 200 - 400 topics and over 1 trillion knowledge states.