Sentence examples for features in highly from inspiring English sources

This includes recognition of true metabolite-derived analytical features in highly complex LC MS data and characterization of the global biochemical composition of biological samples.

All of the noise-added taxa enzyme function count tables are available in Additional file 6. Multidimensional scaling (MDS) plot is a graphical approach for comparing similar features in highly complex datasets.

Latinas in particular were underrepresented and frequently featured in highly sexualized roles.

This "missing-of-the-last-step" is a common feature in highly reduced insect endosymbionts, where it has been proposed, for the pea aphid, that the host might control these last steps through enzymes of its own (Hansen and Moran 2011).

The new approach begins with the assumption, based on the argument just presented; that the general codon usage features observed in highly expressed genes greatly differ from that of randomly generated sequences with their sequence composition conserved.

Conducting-atomic force microscopy studies reveal that the film electro-activity does not arise from specific topographic features in the highly corrugated film.

Although we did not have outcome data on the patients used in this study, we were able to examine whether Dicer and Drosha were differentially expressed in LN positive patients compared to LN negative patients and whether this expression was related to clinical features in the highly aggressive TNBC subtype.

An interesting optimization aspect addressed in the genetic optimization environment deals with a construction of optimal subspaces of the overall feature space: in highly dimensional spaces we can envision that only a small subset of features is essential and their reduction may help develop a compact network.

We (see Table 1) and others [ 14] have shown that feature selection in highly multivariate data like mircoarray data is not very robust, due to high feature numbers and low sample numbers.

Other dimensionality reduction techniques such as principal component analysis or linear discriminant analysis (LDA) have to face the problem that the feature information in highly dimensional vectors might not be separable linearly.

Handsomely designed and durably sturdy, this is a book nature-loving children will snatch out of the hands of their younger siblings, eager to study the rainbow of creatures featured in its highly tactile pages.