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A programmer may retrieve a matrix of data by specifying individual coordinate ranges to the Genomedata interface.
A graphic approach termed a Genetic Activity Profile (GAP) has been developed to display a matrix of data on the genetic and related effects of selected chemical agents.
Given this input, GeneValorization provides a matrix of data where each line is dedicated to a gene and each column is dedicated to a filter.
The NMDS algorithm starts with a matrix of data similarities and then assigns a location to each data point in the N-dimensional space, using a non-linear least squares fit to minimize the distances between the data points.
Our implementation of the method consists of two main steps: (i) we compute the covariance matrix required to generate two correlated binary vectors of length n (each vector represents one SNP and n is the number of observations) and (ii) we use the covariance computed in step (1) to generate a matrix of data that follow a multivariate normal distribution.
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COBRA models often contain two sets of biological information, a matrix of stoichiometric data for metabolic reactions, and a mapping between gene-encoding enzymes and the reactions they catalyze (the gene-protein-reaction, or GPR, relationship).
The data are then added to the matrix of scaled random numbers to produce a matrix of 'perturbed data'.
Following the standard machine learning paradigm, the feed-forward back-propagation ANN models were trained by feeding a matrix of training data complete with the input and target values.
The genomic relatedness of bacterial strains was estimated from pairwise comparisons of PFGE SmaI-macrorestriction patterns, and a matrix of binary data was constructed based on the presence/absence of each band.
A classical use of feature selection analysis [ 2] is to identify the most discriminating features or dimension in a matrix of microarray data [ 3].
In its discretized form, the Baker map is an efficient tool to randomize a square matrix of data.
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