Sentence examples for class discoveries from inspiring English sources

In this study, we explicitly interrogated factors that inhibit integrative analyses of multiple data types for both disease class discoveries and classifications [ 17].

When the three steps were finished, the newly constructed features of patients can be used as inputs to do disease class discoveries and classifications by other algorithms e.g., k-means [ 21, 22] and support vector machines [ 23, 24].

This article describes the types of studies that can be conducted with microarray experiments (class comparison, class prediction, class discovery).

We also demonstrate the flexibility of the class discovery method with regard to standard resampling methodology such as jackknifing and noise perturbation.

Finally, to asses the degree of ground-truth class discovery by the endmembers we plot the maximum correlation coefficient per abundance and per ground truth class in Figures 11 and 12 for the Indian Pines and Salinas images, respectively.

It's first move out of the Big Apple is through a new partnership with Time Out Magazine, which this month will start running a CourseHorse-powered class discovery platform on its sites in both NYC and Los Angeles.

We tested our method for class discovery on two data sets: a data set of 87 tissues, comprised mostly of small, round, blue-cell tumors (SRBCTs), and a data set of 22 breast tumors.

A number of studies have examined the problems of tumor classification: class discovery, the problem of defining a number of classes of tumors using the data from a DNA chip, and class prediction, the problem of accurately classifying an unknown tumor, given expression data from the unknown tumor and from a learning set.

To solve the class discovery problem, we impose a metric on a set of tumors as a function of their gene expression levels, and impose a tree structure on this metric, using standard tree fitting methods borrowed from the field of phylogenetics.

Gene expression profiling for class discovery has been widely applied to ovarian cancer.

First, the class discovery approach using ANOVA and GoMiner pathway analysis provided well-defined groups.