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Hence, the kernel function enables efficient operations on a high-dimensional linear space and avoids 'dimension disaster' in the traditional pattern analysis algorithms.
Here we report a new method for studying the dynamic progress of axonal mitochondrial transport by coupling a highly efficient imaging method with automated mitochondrial tracking and motion pattern analysis algorithms.
We use the Molecular Apocrine subtype of breast cancer to demonstrate our ability to infer pathways directly from patients' gene expression data with pattern analysis algorithms.
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It is a structured programming framework which makes use of the programming philosophy of MapReduce to solve the data management challenge of NGS by separating data access patterns from analysis algorithms.
Importantly, two catalytic mutants of CENP-V designed based on this predicted structure were shown by a novel pattern recognition analysis algorithm to be unable to induce chromatin hypercondensation in a pattern similar to the wild-type protein when overexpressed in HeLa cells.
Pattern analysis involves using an algorithm to learn a function that distinguishes between experimental conditions using the pattern of voxel activity.
Additional studies to test the sensitivity and specificity of the proposed algorithm for pattern analysis are essential.
Therefore, additional studies to test the sensitivity and specificity of the proposed algorithm for pattern analysis are essential to validate the findings of this pilot study.
With rapid development of multicore CPU technique, using multicore computer and MATLAB® is an intuitive and simple way to speed up the algorithms for fringe pattern analysis.
We employed multivoxel pattern analysis (MVPA: [16] [18]) using a simple correlation algorithm to test for weak but consistent biases of individual voxels in local spatial patterns of activity evoked by the gratings.
A greater understanding of HCD fragmentation patterns would benefit the development of proteomic data analysis algorithms.
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