A core component in translational cancer research is biomarker discovery using gene expression profiling for clinical tumors. This is often based on cell line experiments; one population is sampled for inference in another. We disclose a semisupervised workflow focusing on binary (switch-like, bimodal) informative genes that are likely cancer relevant, to mitigate this non-statistical problem. ...

The search for anomalies or outliers in large-scale network data has important security applications and can help to uncover interesting behavior. Four different types of anomalies can be discovered in static and dynamic network data: nodes, edges, small subgraphs, and/or larger (sub) networks. To date, most of the research in this area has focused on identifying anomalous nodes, links, or smal...

BACKGROUND Cancer patients are at increased risk for depression compared with individuals with no cancer diagnosis, yet few interventions target depressed cancer patients. METHODS Efficacy of psychotherapeutic and pharmacologic interventions for depression in cancer patients who met an entry threshold for depressive symptoms was examined by meta-analysis. Five electronic databases were system...

In science, it is a common experience to discover that although the investigated effect is very clear in some individuals, statistical tests are not significant because the effect is null or even opposite in other individuals. Indeed, t-tests, Anovas and linear regressions compare the average effect with respect to its inter-individual variability, so that they can fail to evidence a factor tha...

The quiescent current testing (IDDQ testing) for CMOS ICs provides several advantages over other testing methods. However, the future of IDDQ testing is threatened by increased sub-threshold leakage current for new technologies. The conventional pass/fail limit setting methodology cannot survive in its present form. In this paper we evaluate two statistical outlier rejection methods – the Chauv...

BACKGROUND Childhood obesity studies rely on parentally reported anthropometrics. However, the accuracy of such data has not been evaluated for 12-month-old children. Moreover, methods to improve the accuracy of reported data have not been assessed in prior studies. METHODS A total of 185 children enrolled in a northern Virginia childhood longitudinal cohort genomic study had parentally compl...

Because natural selection is likely to act on multiple genes underlying a given phenotypic trait, we study here the potential effect of ongoing and past selection on the genetic diversity of human biological pathways. We first show that genes included in gene sets are generally under stronger selective constraints than other genes and that their evolutionary response is correlated. We then intr...

Figure 1. Demonstration of outlier detection based on a simulation data. (a) shows the noise-free peanut-shaped ADC spatial profile obtained from a 2D tensor. (b) depicts results with an extreme outlier. The dotted line represents the measurement data, while the solid line is the fitted ADC profile. (c) shows the error map between the measured ADC and the fitted ADC signals. It clearly demonstr...

From the past decade outlier detection has been in use. Detection of outliers is an emerging topic and is having robust applications in medical sciences and pharmaceutical sciences. Outlier detection is used to detect anomalous behaviour of data. Typical problems in Bioinformatics can be addressed by outlier detection. A computationally fast method for detecting outliers is shown, that is parti...