The phrase "a set of randomized" is correct and usable in written English.
It can be used when referring to a collection or group of items that have been randomized, often in the context of experiments or studies.
Example: "The researchers analyzed a set of randomized samples to ensure the validity of their findings."
Alternatives: "a collection of randomized" or "a group of randomized".
This generates randomized data for each individual genome by creating a set of randomized genomes with the same amino acid composition, sequence, and codon distribution.
This sampling was repeated 10,000 times for each flood event to generate a set of randomized data series of annual normalized flood losses.
This quantity is computed both for the real ATN and for a set of randomized versions of the network in which all the links are rewired keeping the same degree sequence of the original network.
The shuffling procedure described above yields a set of randomized sequences.
In the first one, we compare the original brain connectivity graphs GO with a set of randomized equivalents GR, in terms of node degree, node strength, number of connections, edge distance and edge weight, hence analyzing the structural differences between these two types of data sets.
We then applied a background correction in which the cross-coexpression matrix was normalized against a set of randomized matrices.
Likewise, the ability of the simulated calibrations to accurately predict a set of 4 randomized field plots (not included in the calibration) was initially poor, but stabilized within ~ 2 Mg C ha-1 of the full regression RMSE with just 24 of the 83 plots.
Specifically, our approach requires a set of nonspecific randomized sequences with varying GC content (3 25 per 25-mer probe) to be synthesized on the array.
This covariance matrix was determined directly from a set of 180 randomized peptide libraries of length nine with measured binding affinities of to 24 MHC-I alleles from human, chimpanzee, macaque, and mouse (compare [47]).
We then compared this to the frequency of conserved-synteny neighbors in a set of 10,000 randomized genomes.
In order to determine an appropriate choice for k, we clustered our signals, examined the sum of the squared error (SSE) for 1 ≤ k ≤ 15 and compared this error with that from a set of 250 randomized instances of the data [ 53].
