The denoising source separation framework is extended to nonlinear separation of image mixtures. MLP networks are used to model the nonlinear unmixing mapping. Learning is guided by a denoising function which uses pri...
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Ultrascale computing and high-throughput experimental technologies have enabled the production of scientific data about complex natural phenomena. With this opportunity, comes a new problem – the massive quantities o...
Ultrascale computing and high-throughput experimental technologies have enabled the production of scientific data about complex natural phenomena. With this opportunity, comes a new problem – the massive quantities of data so produced. Answers to fundamental questions about the nature of those phenomena remain largely hidden in the produced data. The goal of this work is to provide a scalable high performance statistical data analysis framework to help scientists perform interactive analyses of these raw data to extract knowledge. Towards this goal we have been developing an open source parallel statistical analysis package, called Parallel R, that lets scientists employ a wide range of statistical analysis routines on high performance shared and distributed memory architectures without having to deal with the intricacies of parallelizing these routines.
Proteins usually do not act isolated in a cell but function within complicated cellular pathways, interacting with other proteins either in pairs or as components of larger complexes. While many protein complexes have...
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ISBN:
(纸本)9812560467
Proteins usually do not act isolated in a cell but function within complicated cellular pathways, interacting with other proteins either in pairs or as components of larger complexes. While many protein complexes have been identified by large- scale experimental studies 7,8, due to a large number of false-positive interactions existing in current protein complexes 10, it is still difficult to obtain an accurate understanding of functional modules, which encompass groups of proteins involved in common elementary biological function. In this paper, we present a hyper- clique pattern discovery approach for extracting functional modules (hyperclique patterns) from protein complexes. A hyperclique pattern is a type of association pattern containing proteins that are highly affiliated with each other. The analysis of hyperclique patterns shows that proteins within the same pattern tend to present in the protein complex together. Also, statistically significant annotations of proteins in a pattern using the Gene Ontology suggest that proteins within the same hyperclique pattern more likely perform the same function and participate in the same biological process. More interestingly, the 3-D structural view of proteins within a hyperclique pattern reveals that these proteins physically interact with each other. In addition, we show that several hyperclique patterns corresponding to different functions can participate in the same protein complex as independent modules. Finally, we demonstrate that a hyperclique pattern can be involved in different complexes performing different higher-order biological functions, although the pattern corresponds to a specific elementary biological function.
In contrast to engineering applications, in which the structure of control laws are designed to satisfy prescribed function requirements, in biology it is often necessary to infer gene-circuit function from incomplete...
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In contrast to engineering applications, in which the structure of control laws are designed to satisfy prescribed function requirements, in biology it is often necessary to infer gene-circuit function from incomplete data on gene-circuit structure. By using the feed-forward loop as a model system, this paper introduces a technique for classifying gene-circuit function given gene-circuit structure. In simulations performed on a comprehensive set of models that span a broad range of parameter space, some designs are robust, producing one unique type of functional response regardless of parameter selection. Other designs may exhibit a variety of functional responses, depending upon parameter values. We conclude that, although some feed-forward loop models have designs that lend themselves to unique function inference, others have designs for which the function type may be uncertain.
We report Kondo resonances in the conduction of single-molecule transistors based on transition metal coordination complexes. We find Kondo temperatures in excess of 50 K, comparable to those in purely metallic system...
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We report Kondo resonances in the conduction of single-molecule transistors based on transition metal coordination complexes. We find Kondo temperatures in excess of 50 K, comparable to those in purely metallic systems. The observed gate dependence of the Kondo temperature is inconsistent with observations in semiconductor quantum dots and a simple single-dot-level model. We discuss possible explanations of this effect, in light of electronic structure calculations.
With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure. Unfortunately, many high-performance grid applications only u...
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With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure. Unfortunately, many high-performance grid applications only use a small fraction of the available bandwidth because operating systems and their associated protocol stacks are still tuned for yesterdays WAN speeds. As a result, network gurus undertake the tedious process of manually, tuning system buffers to allow TCP flow control to scale to today's WAN grid environments. Although recent research has shown how to set the size of these system buffers automatically at connection set-up, the buffer sizes are only appropriate at the beginning of the connection's lifetime. To address these problems, we describe an automated and scalable technique called dynamic right-sizing. We implement this technique in user space (in particular for bulk-data transfer) so that end users do not have to modify the kernel to achieve a significant increase in throughput.
Genetic studies on closed populations benefit from comprehensive, searchable genealogy resources. To support studies of Anabaptists, a computerized database has been developed that merges two large genealogy books, t...
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Genetic studies on closed populations benefit from comprehensive, searchable genealogy resources. To support studies of Anabaptists, a computerized database has been developed that merges two large genealogy books, the “Fisher Family History” and the “Amish and Amish Mennonite Genealogies.” The former is more current but the latter is more comprehensive for the 18th and 19th centuries. Therefore, the merger of the two books is significantly more useful than either book alone. We demonstrate the utility of the merged database with two results: an increase in inbreeding coefficients and the identification of parent–child relationships that do not exist in either book. Am. J. Med. Genet. 86:156–161, 1999. Published 1999 Wiley-Liss, Inc.
A t(11;22)(p13;p12) chromosomal translocation, juxtaposing the Wilms' tumor ( WTI ) and Ewing's sarcoma ( EWS ) genes, is the cytogenetic hallmark of desmoptastic small round cell tumor (DSRCT), a primitive mu...
Scalable parallel computer architectures provide the computational performance needed for advanced computing problems in molecular biology. Many scientific challenges in molecular biology have associated with them a c...
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