Sentence examples for classes matrix from inspiring English sources

10.7554/eLife.08490.016 Figure 5. Virus host network between virus clusters and host classes (matrix visualization).

The four (negative symptom trajectory classes) by three (positive symptom trajectory classes) matrix formed 12 cells with one empty cell (cell 1 1, no patient fell into this category), three cells (cells 3 1, 3 3, and 4 3) with only one patient each, one cell (cell 3 2) with seven patients, and the remaining seven cells with at least 14 patients each.

U=[u ij ] is the fuzzy C-class matrix of the data set X, in which u ij is the membership function of the j th data point for the i th class.

The SAFE analysis requires three input data structures: the gene expression data, a response vector, and a class matrix.

The class matrix, which describes the functional categories and specifies what genes are members of what classes, was created in a similar way and was based on Gene Ontology (GO), and included classes with at least 10 genes.

PLS-DA is a multivariate, full-spectrum calibration method that determines the best-fit mathematical relationship between a descriptor matix, i.e., sample spectra, and a class matrix, i.e., sample identities [37], [38].

Many elastases and collagenases belong to the enzyme class Matrix Metalloproteinases (MMPs) (Choke et al. 2005).

However, the quotient between the traces is employed instead of their sum because it reflects more the intuitive notion of maximizing the trace of the between-class matrix while simultaneously minimizing the trace of the within-class matrix [ 26].

The Pliofilm study applied a less detailed assignment strategy based on a job title exposure class matrix and provided limited insight in the exposure assignment strategy.

This method does not derive an average, but identifies the matrix that is most representative of each group (these were used as the class matrices in Figure 2).

Specifically, LDA-based methods including their kernel versions consider the distribution of each class, i.e., the within-class covariance matrix and the between-class covariance matrix are used for taking into account the distribution direction.