Sentence examples for graphs high from inspiring English sources

The samples were scored manually by visual inspection of the derivative of the raw data (melt curve analysis) and the normalized HRM and difference graphs (high resolution melting analysis).

However, scoring the samples of unknown mutation status is not always straightforward as visual inspection of both the derivative of the raw data (melt curve analysis) and the normalized HRM and difference graphs (high resolution melting analysis) may be needed for correct interpretation of the melting data.

Aaron held up her graph high.

The position of the trace on the graph (high or low) is derived from the combined information of the tilt switches and can be used to determine the different positions of the participant (lying, sitting, or upright).

The three types of quasi-cliques we detect are: high density, low enrichment ("clique") subgraphs where Q contains every vertex of the graph; high enrichment, low density ("enriched") subgraphs with a small query set (every 10th vertex of V (G)); and moderate enrichment and density ("dense") subgraphs with a medium-sized query set (every 6th vertex of V (G)).

In addition, undiagnosed meningoencephalitis patients had higher values of the upper-left corner of the graph (high cytokine levels with low cellularity) for both TNF-α (39 %) and IL-17 (31 %) when compared to patients with virus-positive meningoencephalitis (TNF-α = 13 % and IL-17 = 5 %).

For example, you could use a red pen to graph high temperatures, then use a blue pen to graph low temperatures over the same period on the same graph.

In this graph, higher Y values correspond to better "diversity fingerprints".

The performance of an algorithm increases when its associated trade-off points are closer to the left top corner of each graph (higher DP with a lower FAR).

A search is then carried out over this alignment graph for high scoring sub-graphs.

Branchwidth and treewidth are connectivity parameters of graphs of high importance in algorithm design.