Coding systems in the set Δ are not precise copies of the coding systems in the set X. Instead, each copy in Δ is generated with small changes (mutations) in the composition or sequences of its elements (see subsection "Genetic variations" for a description of the mutation process).
Similar observations were made in studies in which the cross-link was generated with small peptide substrates.
Simulated data has been used to validate methods, but typically the data was generated with small networks (containing 10 100 genes) [ 24, 25] and with the same models as used by the inference [ 26, 27].
Five paired-end fragment libraries were generated with small insert sizes of 2 × 170, 1 × 500, and 2 × 800 bp plus four longer jumping libraries with insert sizes of 3 × 2,000 and 1 × 5,000 bp.
Additional transgenic lines have been generated with smaller segments of the regulatory regions of these genes [25], [26], [27].
KChIP.1 up-regulation appeared to be specific for central memory T cell differentiation since no up-regulation occurred when memory T cells were generated with low dose IL-2, except a small isolated increase on day 6 (Fig. 5,A and B), whose significance remains unclear.
Due to noise in each layer, a random grasp plan can be generated with a small probability, which encourages exploration of the parameter space.
The advantage of AFLP is that a large number of markers can be generated with a smaller number of primer pairs than required when using microsatellites.
This result shows the robustness of the method and indicates that accurate results can already be generated with a relatively small number of feature points.
Furthermore, due to very good homogeneity of data generated with PET measurements compared to the other biomarker studies, statistically significant results can be generated with FDG-PET using relatively small sample sizes.
