High-throughput generation of new types of relational biological datasets is creating a demand for network-based signal processing and pattern recognition to provide new insights. Such networks are often too large to ...
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High-throughput generation of new types of relational biological datasets is creating a demand for network-based signal processing and pattern recognition to provide new insights. Such networks are often too large to interpret visually and too complicated to be explained solely based on local topological properties. Just as signal processing and statistical techniques have been used in traditional, sequential-based biological datasets, so too are methodologies needed to automatically discern patterns in the huge, emerging networks. One way to do this is by transforming these very large networks into discernable epitomes, or abstracts, of the original networks. This work presents an approach for doing this via topological compression. Through capturing nodes' global topologies and subsequent compression, a new network epitome can be derived. Here, this is done with an E. Coli gene regulation network, resulting in biological findings that could not be derived from the local topology of the original network.
In this paper, we investigate the properties of lethal genes in E. coli, our model organism. Topological analysis of networks of functional interactions among genes has shown that lethal genes share common local conne...
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In this paper, we investigate the properties of lethal genes in E. coli, our model organism. Topological analysis of networks of functional interactions among genes has shown that lethal genes share common local connectivity properties. In this paper, we analyze cellular networks across three domains. We show that a stochastic global topological analysis, via random walks, is more effective at predicting gene lethality than simply looking at local topology using the standard hub-based method. We also introduce the possibility of using metabolic pathways to understand lethal genes, as regulating these pathways is among one of the most important functions of the gene-encoded proteins. Additionally, we analyze lethal genes in terms of the Gene Ontology (GO) and find that the graph forms two highly connected clusters that are each GO enriched for specific terms. We also find that lethal metabolic regulators are extremely enriched. Finally, we provide applications of the work and avenues for future research.
The steady national decline in women engineering students persists despite a plethora of programs and camps at engineering colleges around the country aimed at attracting girls into engineering and technical fields.1D...
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Artificial neural networks can be trained to predict outcomes in a neonatal intensive care unit (NICU). This paper expands on past research and shows that neural networks trained by the maximum likelihood estimation c...
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Artificial neural networks can be trained to predict outcomes in a neonatal intensive care unit (NICU). This paper expands on past research and shows that neural networks trained by the maximum likelihood estimation criterion will approximate the `a posteriori probability' of NICU mortality. A gradient ascent method for the weight update of three-layer feed-forward neural networks was derived. The neural networks were trained on NICU data and the results were evaluated by performance measurement techniques, such as the Receiver Operating Characteristic Curve and the Hosmer-Lemeshow test. The resulting models applied as mortality prognostic screening tools are presented
Many teachers and researchers put their teaching materials on the Internet for students to read in recent years. This sort of teaching materials could be seen as static because students can only follow the learning se...
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Many teachers and researchers put their teaching materials on the Internet for students to read in recent years. This sort of teaching materials could be seen as static because students can only follow the learning sequence made by teachers in advance. The goal of this paper is trying to develop a tool, K-Navi toolbar, to parse and rebuild teaching materials' hypermedia structures according to the concept relations and extracted rules automatically. K-Navi toolbar first uses the formal concept analysis (FCA) to parse the whole set of teaching materials and gets the embedded concept relations between each of two instructional documents; then uses the association rule methodology (ARM) to extract the rules from the concept lattices; and, finally rebuilds the hypermedia structure of the instructional document read by the student automatically. K-Navi toolbar adds related concept hyperlinks (or says links to other knowledge pieces) into the specific position on the instructional hypermedia document automatically when a student asks the document resource. A student then will be able to dig related knowledge pieces via these relevant hyperlinks.
This paper describes the development of a Multi-Electrode Array(MEA)with Guided Network for Cell-to-Cell Communication Transduction using a standard integrated circuit(IC) fabrication *** conventional electronic syste...
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ISBN:
(纸本)1424401607
This paper describes the development of a Multi-Electrode Array(MEA)with Guided Network for Cell-to-Cell Communication Transduction using a standard integrated circuit(IC) fabrication *** conventional electronic system,bio-system requires a special handling environment that is uncommon in conventional IC *** work presented here demonstrated the interaction between electrically active cells such as neuron and cardiac cells and an IC based *** a carefully designed array,and ionic action of a cell, extracellular signals can be captured and imaged.
Students in the web-based e-learning environment might have their own learning paths due to the structure of the world-wide web. Students can choose suitable learning materials according to their different learning st...
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Students in the web-based e-learning environment might have their own learning paths due to the structure of the world-wide web. Students can choose suitable learning materials according to their different learning style. There are many researches about learning diagnosis in distance education and the main objective of these researches is to improve the learning effects of students. This research proposes a diagnosis mechanism based on the Knowledge Map and implements a feedback system in order to provide the remedy teaching materials in sequence.
The Wireless Integrated MicroSystems (WIMS) Engineering Research Center (ERC) has developed a broad comprehensive MEMS and microsystem curriculum suitable for upper-level undergraduate students, graduate students, and...
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As a group, we will explore issues related to the fact that engineering and computerscience is still very much a male dominated profession. We will explore these issues through a process of reflection and challenge. ...
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As a group, we will explore issues related to the fact that engineering and computerscience is still very much a male dominated profession. We will explore these issues through a process of reflection and challenge. An interactive format will be utilized with attendees assigned to smaller discussion groups each led by a facilitator. Facilitators will be both female and male. A series of open-ended questions will serve as the starting point for the discussions with each group then asked to report back to the entire session as a whole
The NASA Administrator's Fellowship program (NAFP) research grant is awarded to faculty fellows upon the completion of their one-year resident research at a NASA center. The award provided a unique research opport...
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