Sentence examples for robust cluster of from inspiring English sources
They have also substantially grown in scope from their initial, limited target of economic integration to the political project of building a true European community, enabling the rise of a robust cluster of common European rights.
For example, we identified a robust cluster of genes that is expressed specifically in cells of mesenchymal lineages in the mouse [ 14- 16].
For instance, in some data sets, a gene may show little variation and may have no co- expressed genes, whereas in other data sets the same gene may be part of a robust cluster of co-expressed genes [ 22].
By application of K-means clustering of the expression profiles we have produced a number of gene cluster arrays and have chosen the most robust cluster of genes (slightly changes depending on the requested cluster number) from a 50-cluster K-means analysis where it was composed by genes with highly homogenous expression values.
- Ph.D. Thesis: Harnessing Sparse and Low-Dimensional Structures for Robust Clustering of Imagery Data, 2009.
Harnessing Sparse and Low-Dimensional Structures for Robust Clustering of Visual Data (sponsored by ONR).
Therefore, combining mutual information analysis with robust clustering of complex stimuli provides a framework to study neural coding mechanisms related to complex stimuli discrimination.
Robust clustering of data into linear subspaces is a frequently encountered problem.
Also, with regard to host specificity, except for the X. axonopodis strains, which infect citrus and pepper, respectively, strains within clades infect the same or closely related hosts, so the topology where it is shared with that of the rrnA tree is not informative, except that there is no robust clustering of pathogens of monocots versus pathogens of eudicots.
Cluster analysis was used to select only those probe sets that formed two robust clusters of alleles, with each cluster containing at least two varieties.
When used in hierarchic cluster analysis, this gene list resulted in robust clustering of basal-like and non-basal-like cancers in the Natrajan dataset.
