Sentence examples for numerical log from inspiring English sources

The candidate TFs with an average numerical log 2 fold change of at least 1 (1 on log 2 scale, corresponds to a fold change of 2 on a linear scale) that were significantly deregulated (P<10−4 after Benjamini and Hochberg correction) in the 'HG_U133A' set (80 canormals0 normals) were taken further for validation in the second larger and independent set 'HG_U133 plus 2.0' (344 canormals0 normals).

The study aimed to compare the capability of using five different shifting techniques (numerical, log-linear, William-Landel-Ferry (WLF), Modified Kaelble (MK) and Arrhenius) and two different fitting functions (the Sigmoidal fitting function, and Prony series) to construct creep compliance master curves.

Therefore, the main objective of this study was to compare the relative ability of five common temperature shifting techniques, i.e. Numerical, Log-Linear, Williams-Landel-Ferry (WLF), Modified Kaelble, and Arrhenius, to construct the relaxation modulus master curve for dense graded asphalt mixtures.

The confusion comes from the fact that we used for numerical simulation log(p) in Figure 6 (as well as for the numerical simulations) while in Table 1 the result is expressed only using p. Figure 6 has been corrected.

Briefly, the control model is log-linear in 14 indicator variables for 5 year age-at-exposure categories, an indicator for gender, and the numerical variable log mean attained age, each of which is well-defined for the data cells.

It should also be noted that due to numerical difficulties, log normally distributed interindividual variability (IIV) could only be implemented on one of the two parameters, RATE or DOT, forcing either the same RATE or the same DOT for every subject.

In contrast, in our work the decision trees perform regression, predicting the numerical value of log Vss.

In our experiment, the evidence is determined by the Log numerical distance and the precise probability of generating a response given a stimulus can be estimated using bayesian models based on maximum likelihood hypothesis [55], [56].

When log (numerical) abundance (or density) is plotted against log body size, the typical pattern (in local assemblages) is one where the points fall within a roughly triangular space [ 11, 12].

A sequence of junk DNA is converted into a unique numerical pattern and logged in the database.

All numerical variables were log-transformed in the model.