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Fisher's principle is rooted in the concept of frequency-dependent selection, though Fisher's principle is not frequency-dependent selection per se. Frequency-dependent selection, in this scenario, is the logic that the probability of an individual being able to breed is dependent on the frequency of the opposite sex in relation to its own sex.
In biology, a probe is a single strand of DNA or RNA that is complementary to a nucleotide sequence of interest. RNA probes can be designed for any gene or any sequence within a gene for visualization of mRNA , [ 3 ] [ 4 ] [ 5 ] lncRNA [ 6 ] [ 7 ] [ 8 ] and miRNA in tissues and cells.
In this passage "the family" and "stock" stand for a kin group. These passages and others by Darwin about kin selection are highlighted in D.J. Futuyma's textbook of reference Evolutionary Biology [5] and in E. O. Wilson's Sociobiology. [6] Kin selection was briefly referred to by R.A. Fisher in 1930 [7] and J.B.S. Haldane in 1932 [8] and 1955. [9]
Fisher's fundamental theorem of natural selection is an idea about genetic variance [1] [2] in population genetics developed by the statistician and evolutionary biologist Ronald Fisher. The proper way of applying the abstract mathematics of the theorem to actual biology has been a matter of some debate, however, it is a true theorem.
Fisher's permutation test; Fisher's inequality [107] Sufficient statistic, when a statistic is sufficient with respect to a statistical model and its associated unknown parameter if "no other statistic that can be calculated from the same sample provides any additional information as to the value of the parameter". [108]
To summarize, a family could best be defined by the potential selective inference that is being faced: A family is the smallest set of items of inference in an analysis, interchangeable about their meaning for the goal of research, from which selection of results for action, presentation or highlighting could be made (Yoav Benjamini).
Early work on statistical classification was undertaken by Fisher, [1] [2] in the context of two-group problems, leading to Fisher's linear discriminant function as the rule for assigning a group to a new observation. [3] This early work assumed that data-values within each of the two groups had a multivariate normal distribution.
EF-Tu (elongation factor thermo unstable) is a prokaryotic elongation factor responsible for catalyzing the binding of an aminoacyl-tRNA (aa-tRNA) to the ribosome.It is a G-protein, and facilitates the selection and binding of an aa-tRNA to the A-site of the ribosome.