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To detect the smallest delay faults at a fault site, the longest path(s) through it must be tested at full speed. Existing test generation tools are inefficient in automatically identifying the longest testable paths due to the high computational complexity. In this work a test generation methodology for scan-based synchronous sequential circuits is(More)
SUMMARY We propose a beta-mixture model approach to solve a variety of problems related to correlations of gene-expression levels. For example, in meta-analyses of microarray gene-expression datasets, a threshold value of correlation coefficients for gene-expression levels is used to decide whether gene-expression levels are strongly correlated across(More)
MOTIVATION A major focus of current cancer research is to identify genes that can be used as markers for prognosis and diagnosis, and as targets for therapy. Microarray technology has been applied extensively for this purpose, even though it has been reported that the agreement between microarray platforms is poor. A critical question is: how can we best(More)
The path delay fault model is the most realistic model for delay faults. Testing all the paths in a circuit achieves 100% delay fault coverage according to traditional path delay fault coverage metrics. These metrics result in unrealistically low fault coverage if only a subset of paths is tested, and the real test quality is not reflected. For example, the(More)
Excessive power supply noise can lead to overkill during delay test. A static compaction algorithm is described in this paper that prevents such overkill. A power supply noise estimation tool has been built and integrated into the compaction process. Compaction results for KLPG delay tests for ISCAS89 circuits under different power grid environments are(More)
Translating the overwhelming amount of data generated in high-throughput genomics experiments into biologically meaningful evidence, which may for example point to a series of biomarkers or hint at a relevant pathway, is a matter of great interest in bioinformatics these days. Genes showing similar experimental profiles, it is hypothesized, share biological(More)
MOTIVATION Nonlinear dose-response models are primary tools for estimating the potency [e.g. half-maximum inhibitory concentration (IC) known as IC50] of anti-cancer drugs. We present drexplorer software, which enables biologists to evaluate replicate reproducibility, detect outlier data points, fit different models, select the best model, estimate IC(More)
In this paper, we present a novel feature allocation model to describe tumor heterogeneity (TH) using next-generation sequencing (NGS) data. Taking a Bayesian approach, we extend the Indian buffet process (IBP) to define a class of nonparametric models, the categorical IBP (cIBP). A cIBP takes categorical values to denote homozygous or heterozygous(More)