Sentence examples for and graphs will be from inspiring English sources

Tables and graphs will be given of the 20 largest light agglomerations worldwide in 1992 compared with 2009.

For quantitative data (i.e., length of sequences/pI/MW/Fold Index/Gravy/frequency of amino acids and many other physico-chemical properties), classical statistical computation and graphs will be automatically generated.

Fundamental functions (polynomials, rational functions, exponential, logarithmic, trigonometric) and their graphs will be also reviewed.

The relation between Boolean models and interaction graphs will be discussed later.

We expect that gene graphs can be used to improve metagenome assemblies and that gene graphs will be a useful resource for the functional annotation of metagenomic samples.

Additionally, survival regression models using B-spline functions and U-shape graphs will be explored in order to model non-proportional hazards.

Under the OLC paradigm, the computational time for assembling more reads rises exponentially with data complexity because the number of pairwise comparisons to detect overlaps will increase, and the layout graphs will be harder to resolve into a consensus sequence.

Time-to-event graphs will be depicted for the experimental and control group separately.

A number of graphs will be plot between the uplift capacity and the factors to obtain their relationships.

When we give participants results graphs, we find that even some who think the graphs will be "too hard" begin to read and interpret them, thinking aloud about their meaning.

Suitable graphs will be generated to depict the changes in key efficacy parameters and then transferred to the statistical report.