Sentence examples for network kernels from inspiring English sources

We consider several kernels (Gaussian, polynomial, and neural network kernels) to characterize gene expression effects in a pathway on clinical outcomes.

The large number of targets and their close association with clusters of UCRs indicates that SSTF nodes may be frequently re-used by different network kernels during development.

The SSTF genes located in the genomic regions that are richest in UCRs are likely to have the most cis-regulatory modules, and can therefore participate in more, or more diverse, network kernels.

Many Lbx1 targets are therefore located in those genomic regions that are richest in evolutionarily conserved regulatory elements, consistent with the idea that Lbx1 participates in the evolutionarily inflexible transcription circuits that are called network kernels.

The sea urchin endomesoderm models, in which network kernels were discovered, reveal how expression and epistasis information can be coupled in Biotapestry, to give a series of "views from the cell" that show how the network progresses from state to state in time and space [22].

The analysis focused on probe sets corresponding to SSTFs, which collectively form the key interface between the genetic regulatory information on the DNA and the RNA polymerase II transcriptional machinery and its coregulators [31] and which make up transcriptional network kernels [26].

The procedure combines the calculation of travel time on minimum cost routes and network kernel density estimations.

The utility of network kernel density change detection is demonstrated through the comparison of cycling incident densities following the construction of two cycle tracks in the downtown core of Vancouver.

It includes file system, network, kernel and device driver, and manufacturers change Linux kernel for each device function.

There was a notable early work on network virtualization in the OpenSig era: the Genesis project[42] proposed, in 1999, a virtual network kernel that was capable of spawning virtual network architectures on-demand.

Thus, the expressed SSTFs that define a population are predicted to be nodes of a specific network kernel.