Sentence examples for three dimensional feature from inspiring English sources

For analysis of the SUA, spike sorting was performed offline using the Offline Spike Sorter (Plexon, Inc., Dallas TX), primarily through manual isolation of spike clusters in two or three dimensional feature spaces.

The method is based on analysis of the distribution of all genes on a microarray mapped to a three dimensional feature space composed of average difference of gene expression (logarithm of fold change), total variance and average expression level.

The method is based on an analysis of the intensity distribution of all microarray probe sets mapped to a three dimensional feature space composed of average expression level, average difference of gene expression and total variance.

This paper presents the description of a method, called the distributional fold change (DFC) test, which is based on the analysis of the distribution of intensities of all features on a microarray mapped to a three dimensional feature space composed of the average difference of gene expression (logarithm of fold change), total variance and average expression level.

The ability to fabricate micro scale structures with three dimensional features can augment the design opportunities to realise novel devices.

An effective depth resolution of 9.2 µm then allows the typical observer for resolving very small three dimensional features in a painting.

The relief aspects of the drainage basins are related to the study of the three dimensional features of a basin/watershed involving area, volume and attitude of the vertical dimension of landforms.

Previous studies of the natural history of human enamel caries lesions in deciduous and permanent teeth using three dimensional features of polarized light microscopy have contributed to the understanding of the dynamics of caries progression [ 7- 9].

Here we have considered two data sets from UCI machine learning database having nine and ten dimensional feature spaces for classification.

Extracting the velocity data from the filtered trajectory data delivers a six dimensional feature value vector for each trajectory point.

We projected the strains in the six dimensional feature space onto two dimensions for each ΔT.