Sentence examples for multivariate classification algorithm from inspiring English sources

Accordingly, we propose an effective network-based multivariate classification algorithm, using a collection of measures derived from white matter (WM) connectivity networks, to accurately identify MCI patients from normal controls.

The values of markers were transformed into log values before analysis using a multivariate classification algorithm.

SVM is a supervised multivariate classification algorithm based on pattern recognition.

To allow distinction between first-degree relatives and patients with RA, a multivariate classification algorithm termed the Random Forest method was used.

We applied and contrasted the following multivariate classification algorithms to predict HER2, ER, and PR IHC positivity separately.

Multivariate classification algorithms were used to find discriminating biomarkers and validated with another independent population of 90 breast cancer and 79 healthy controls.

Multivariate classification algorithms distinguished breast cancer patients from the normal population with high accuracy (91.8% with random forest, 91.5% with support vector machine, 87.6% with linear discriminant analysis).

Such assays, which include MammaPrint [ 3], OncotypeDx [ 4], PAM50 Breast Cancer Intrinsic Subtype Classifier [ 5], MapQuant Dx [ 6] and Theros Breast Cancer Index [ 7], are implemented by providing multiple gene expression measurements obtained from tissue samples to multivariate classification algorithms.

After 13 proteins were selected as candidate biomarkers, multivariate classification analyses were used to identify algorithms for diagnostic biomarker combinations.

Here, in addition to the traditional method of group comparisons on individual measures, we also used support vector machine (SVM) algorithms, a supervised multivariate classification method, which has proved useful, although not perfect, at distinguishing clinical groups using neuroimaging data [Ecker et al., 2010 ].

A probabilistic neural network (PNN), a neural network implementation of multivariate Bayesian classification scheme, and a heuristic classification algorithm are employed to classify vehicle types.