Nowadays, as more and more associations between microRNAs (miRNAs) and diseases have been discovered, miRNA has gradually become a hot topic in the biological field. Because of the high consumption of time and money on carrying out biological experiments, computational method which can help scientists choose the most likely associations between miRNAs and diseases for further experimental studi...

Copula models are often used to model the dependence structure in bivariate failure-time data. We consider a covariate effect regression method on the copula parameter for Archimedean copulas. The proposed method can handle three different data structures, namely typical bivariate data, semi-competing risks data and dependent truncation data. We derive large-sample properties of the proposed es...

MOTIVATION In ordinary regression, imposition of a lasso penalty makes continuous model selection straightforward. Lasso penalized regression is particularly advantageous when the number of predictors far exceeds the number of observations. METHOD The present article evaluates the performance of lasso penalized logistic regression in case-control disease gene mapping with a large number of SN...

This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is the predicted value of the target attribute. The approach consist of two steps: (1) extraction of association rules, and (2) construction of the rule-based regression model. We propose a pruning scheme for redundant and...

Self injurious behaviors (SIBs) are challenging clinical problems in individuals with autism spectrum disorders (ASDs). This study is one of the first and largest to utilize inpatient data to examine the associations between autism, developmental regression, and SIBs. Medical records of 125 neurobehavioral hospitalized patients with diagnoses of ASDs and SIBs between 4 and 17 years of age were ...

Correlation quantifies the degree and direction to which two variables are related. does not fit a line through data points. The sign (+, -) of correlation coefficient indicates association. magnitude strength association, e.g. A r = - 0.8 suggests strong, negative association (reverse trend) between variables, whereas 0.4 suggest weak, positive close zero no linear continuous variables. Linear...

Genetic studies of complex diseases often collect multiple phenotypes relevant to the disorders. As these phenotypes can be correlated and share common genetic mechanisms, jointly analyzing these traits may bring more power to detect genes influencing individual or multiple phenotypes. Given the advancement brought by the multivariate phenotype approaches and the multimarker kernel machine regr...

In association tests of sites with low minor allele frequency or count, it is known that single-variant tests are impractical to use because the results from which will be either underpowered or unreliable. Joint analyses by pooling or “collapsing” multiple variants based on annotated gene group information are thus more preferred in rare variant association tests. However, the issue remains in...

background: the objective of this study was an investigation of the association between depression and sleep quality. materials and methods: th is cross-sectional study was performed on 360 delivered women that referred to thirty health-care centers in ardabil, iran. the standard pittsburgh sleep quality index questionnaire was used to the investigation of sleep quality. we used the edinburgh p...