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Regulation of biological processes occurs when any process is modulated in its frequency, rate or extent. Biological processes are regulated by many means; examples include the control of gene expression, protein modification or interaction with a protein or substrate molecule.
A research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [ 1 ] Paired t-test , Wilcoxon signed-rank test
In biology, optimality models are a tool used to evaluate the costs and benefits of different organismal features, traits, and characteristics, including behavior, in the natural world. This evaluation allows researchers to make predictions about an organism's optimal behavior or other aspects of its phenotype .
Another example is that when many images of a model animal (e.g. C. elegans or Drosophila brain or a mouse brain) are collected, there is often a substantial need to register these images to compare their patterns (e.g. those correspond to the same or different neuron population, those share or differ in the gene expression, etc.).
This example of design experiments is attributed to Harold Hotelling, building on examples from Frank Yates. [21] [22] [14] The experiments designed in this example involve combinatorial designs. [23] Weights of eight objects are measured using a pan balance and set of standard weights. Each weighing measures the weight difference between ...
and show how efficient the process is. The R measures are the results measures – these statistics record the 'outcomes' of the process. Examples include: the number of occasions when the process completed correctly; the number of times rejections occurred; the number of times approval was not given; and show how effective the process is.
In cell biology, a biomarker is a molecule that allows the detection and isolation of a particular cell type (for example, the protein Oct-4 is used as a biomarker to identify embryonic stem cells). [33] In genetics, a biomarker (identified as genetic marker) is a DNA sequence that causes disease or is associated with susceptibility to disease ...
The evolution of biological complexity is one important outcome of the process of evolution. [1] Evolution has produced some remarkably complex organisms – although the actual level of complexity is very hard to define or measure accurately in biology, with properties such as gene content, the number of cell types or morphology all proposed as possible metrics.