As a consequence, it is difficult in most instances to predict how these additional genes contribute to the function of the core SigB stress response.
The management of salivary gland carcinomas can be confusing due to the extreme diversity of tumor types, their relative rarity, the requirement for long-term follow-up, and strategy for treatment in many instances to predict outcome.
The accuracy factor and bias factor were within the proposed acceptable values indicating the suitability of the model for predictive purposes, for instance to predict the process criteria to meet the lethality safety standards.
For centuries, meteorologists relied on statistical tables based on historical averages — it rains about 45 percent of the time in London in March, for instance — to predict the weather.
In value-added modeling, researchers use students' scores on state tests administered at the end of third grade, for instance, to predict how they are likely to score on state tests at the end of fourth grade.
The constructed dry friction theory allows one not only the analytical solution of model problems but also can be applied in the engineering practice, for instance to predict the shimmy if the sliding and spinning cannot be neglected.
The understanding of dynamic fragmentation in shock-loaded metals and the evaluation of geometrical and kinematical properties of the resulting fragments are issues of considerable importance for both basic and applied science, for instance to predict the evolution of engineering structures submitted to high-velocity impact or explosive detonation.
Additionally, given that social support is an important predictor of PTSD symptoms, changes in social support, as a specific element of social functioning, may be crucial to include as a secondary measure, for instance to predict relapse in PTSD symptoms.
In principle, it should be possible to determine the entire genome sequence directly from an embryo, for instance to predict the inheritance of risk alleles for Mendelian disorders or complex, multifactorial phenotypes.
Motivation: Classifying biological data into different groups is a central task of bioinformatics: for instance, to predict the function of a gene or protein, the disease state of a patient or the phenotype of an individual based on its genotype.
Changes in the observed modularity of the human protein interaction networks has been used, for instance, to predict biological and clinical outcomes, such as brain cancer progression or breast cancer metastasis [ 26, 27].
