BACKGROUND Through Diffusion Weighted Imaging (DWI), information related to early molecular changes, changes in the permeability of cell membranes, and early morphologic and physiologic changes such as cell swelling can be obtained. AIMS We investigated the correlation between the prognostic factors of breast cancer and apparent diffusion coefficient (ADC) in DWI sequences of malignant lesion...

Pharmaceutical substances and their residues are increasingly present in the environment. Therefore, attempts at their removal are made by using different processes. Increasingly important among these processes are those modeled on natural phenomena which occur in wetland ecosystems, called technical scale constructed wetlands. Microbial degradation is an important process in these constructed ...

On the basis of 2200 small (10-100) samples obtained from four random number populations, it is shown that the rank correlation coefficient, p, is 88 adequate a measure of concordance 88 the Pearson product-moment correlation, T. The samples were obtained by using pseudo-random linear and normal number generators for bivariate populations with expected correlation cC'efficientB, r~, of 0.0 and ...

We investigate the possibility that microRNA can act as an oncogene or tumor suppressor gene. Experimentally verified microRNA target genes information (TarBase) are integrated with microRNA and mRNA expression data (NCI-60) to study this hypothesis, in which the Pearson correlation and Spearman rank coefficients are used to quantify these relations for nine cancer types. Correlation coefficien...

Motivation: The underlying goal of microarray experiments is to identify genetic patterns across different experimental conditions. Genes that are contained in a particular pathway or that respond similarly to experimental conditions should be co-expressed and show similar patterns of expression on a microarray. Using any of a variety of clustering methods or gene network analyses we can partit...

Kendall Rank Correlation Let (X1, Y1), · · · , (Xn, Yn) be a bivariate random sample of size n. The Pearson correlation coefficient provides an optimal measure of the degree of association between the X’s and the Y ’s when the sample is drawn from a bivariate normal distribution. The Pearson correlation coefficient is reasonably robust for many other distributions as well. The Kendall correlati...

Large corpus-based embedding methods have received increasing attention for their flexibility and effectiveness in many NLP tasks including Word Similarity (WS). However, these approaches rely on high-quality corpora and neglect the human’s intelligence contained in semantic resources such as Tongyici Cilin and Hownet. This paper proposes a novel framework for measuring the Chinese word similar...