Learn More
Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung(More)
The concordance of RNA-sequencing (RNA-seq) with microarrays for genome-wide analysis of differential gene expression has not been rigorously assessed using a range of chemical treatment conditions. Here we use a comprehensive study design to generate Illumina RNA-seq and Affymetrix microarray data from the same liver samples of rats exposed in triplicate(More)
The main focus of this paper is on issues related to communications, load balancing, resource sharing and allocation in a distributed computing system, as applied to battlefield simulation. We present a distributed architecture of a middleware and algorithms for communications, scheduling and load balancing. In the proposed distributed architecture the(More)
Given a time-varying face image object, or only a sub-part of the image, the question of whether the template object image exists in a given image database is an important problem our days, which still remains in its infancy, due to the many challenges it involves. With the advantage of distributed computing, such as computation sharing and data storage(More)
In this paper, we study the stability (convergence time) of an interconnected dynamical system with respect to its connectivity in the presence of delayed feedbacks sensory inputs/outputs data. In particular, we show that under some conditions, that we introduce and present in this paper, related to the interconnected links time-delays, the less connected a(More)
The detection of wanted or suspicious individuals, encountered generally in airports or transportation stations, via the recognition of their faces for security purposes, is an important area for preventing terrorism and smuggling. This problem remains still in its infancy due to the many challenges involved. In particular, face recognition becomes more(More)
Facial recognition, especially with time-varying facial expressions and/or disguises, is crucial in many homeland security applications. The recent Boston Marathon attack is one example reminder of the importance of developing accurate and reliable facial recognition algorithms. While various face recognition algorithms have been proposed in the literature,(More)
Metagenomics is the study of microorganisms collected directly from natural environments. Metagenomics studies use DNA fragments obtained directly from a natural environment using whole genome shotgun (WGS) sequencing. Sequencing random fragments obtained from whole genome shotgun into taxa-based groups is known as binning. Currently, there are two(More)
The need for a solution capable of identifying individuals from a distance, possibly wearing a disguise and in a crowded and busy environment is steadily increasing in many homeland security applications. The use of face recognition techniques has unique advantages when compared to other biometric methodologies - face images can be obtained from a distance(More)