Sentence examples for robust clusters of from inspiring English sources

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.

RTSS s): Robust clusters of transcription start site(s); TSS s): Transcription start site(s); CAGE: Cap analysis of gene expression; TF: Transcription factor; PCA: Principal component analysis.

The more robust clusters of perceptual/conceptual-broad voxels observed bilaterally in the lateral fusiform provide strong further support for the idea that tuning to natural conceptual categories in humans is firmly established by occipitotemporal cortex.

In addition to identifying molecular expression patterns specific for myositis as a whole and distinct for its individual subtypes, we also applied and merged multiple clustering algorithms to identify robust clusters of genes that may provide unique insight into the molecular components of myositis (see Methods for the details).

First, prior to using Promzea, it is critical for the user to define robust clusters of co-expressed genes since motif discovery can be diluted by the presence of extra genes that are not part of the real gene network of interest [ 44, 45].

Hierarchical clustering of the strains was performed on the resulting distance matrix of all pair wise distances between strains and bootstrap analysis revealed seven statistically robust clusters of strains which were highly concordant with those obtained by hierarchical clustering of microarray profiles using the Pearson correlation metric (results not shown).

Robust clustering of data into linear subspaces is a frequently encountered problem.

Therefore, combining mutual information analysis with robust clustering of complex stimuli provides a framework to study neural coding mechanisms related to complex stimuli discrimination.

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.

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.

For example, we identified a robust cluster of genes that is expressed specifically in cells of mesenchymal lineages in the mouse [ 14- 16].