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For sufficiently, large values of σ, the second-order moment dominates and the measure approaches correlation.
The expression of 25,000 genes was assessed, and using various statistical approaches correlation of gene expression with distant metastasis-free probability and overall survival was assessed [ 1- 3].
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To first determine the whole-genome relatedness of phages ΦCP9O, ΦCP13O, ΦCP26F, and ΦCP34O to each other and to other Clostridial phages, we used two approaches: correlations of tetra-nucleotide frequencies and clustering of predicted proteins based on sequence similarities.
This analysis produced excess-death estimates highly correlated with those derived from the regression approach (correlation = 0.97; p<0.01; mean difference 4%7%%).
From this approach, correlations between the wear rate and power output were obtained.
The proposed approach and correlation are continuous and flow pattern independent.
Our algorithm uses a constructive approach involving correlation information in selecting features and determining NN architectures.
According to this algorithm, it used a constructive approach involving correlation information in selecting features and determining neural network architectures.
The indicator vector approach generates correlation matrices, dubbed Klee diagrams, which represent a novel way of assembling and viewing large genomic datasets.
The focus of black-box approaches is correlation-based prediction.
With the partial-correlation approach, the correlation structure between all traits is assessed after controlling by a third variable on the correlation between the studied traits.
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