Sentence examples for cross correlation of data from inspiring English sources

A potential limitation in the cross correlation of data sets, especially in regards to the hope that gene:drug correlates may indicate functional relationships, is that large scale features of the gene expression and or chemosensitivity data- such as tissue of origin and other physiological factors, may drive many of the identified correlations.

To use this additional information, a pattern recognition based on a cross correlation of the data with a predefined bipolar pulse, characteristic of a neutrino-induced acoustic signal, is used.

For Tm3, the cross correlation of common pathway data and the exclusion of any gene which lacked SNPs between parental strains, identified 17 Quantitative Trait genes.

A digital correlation image velocimetry technique was later employed to calculate the spatial cross correlation of the gray scale image data by means of computing the cross-power spectrum of the Fourier transformed image samples.

Cross correlation of AVI and mobile phone data results in one-to-one assignment of a mobile phone to an identified vehicle.

The stack data were first aligned using the Zimba procedure [17] which uses the cross correlation of successive images.

Zhu and Wu [ 2] proposed a parallel computation-based random matrix theory approach to analyze the cross correlations of gene expression data in an entirely automatic and objective manner to eliminate the ambiguities and subjectivity inherent to human decisions.

We propose a parallel computation-based random matrix theory approach to analyze the cross correlations of gene expression data in an entirely automatic and objective manner to eliminate the ambiguities and subjectivity inherent to human decisions.

POJTC presents significant advantages to achieve the operation of summing the cross-correlation of bipolar data by phase-encoding bipolar data in parallel.

The key idea for getting high-quality services from such cheap sensors is the cross-correlation of sensed data from several sensors and their analysis with sophisticated algorithms.

Auto- and cross-correlation of spectral data facilitates the measurement of diffusion constants for particles ranging in radius from 50 to 500 nm while discriminating signal associated with the target analyte from extraneous fluctuations.