Normalization procedures attempt to remove non- biological variance within microarray datasets. The choice of normalization procedure is important, as it has a dramatic effect on downstream data analysis. Although man...
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Normalization procedures attempt to remove non- biological variance within microarray datasets. The choice of normalization procedure is important, as it has a dramatic effect on downstream data analysis. Although many normalization procedures have been developed, comparison and evaluation of their performance is difficult. We present a method to evaluate normalization procedures by utilizing gene- gene associations derived from the biomedical literature via Latent Semantic Indexing. The functional coherence of co- regulated genes obtained from different normalized data sets is calculated in order to evaluate the effectiveness of each normalization procedure. The method was tested on three popular normalization procedures (MAS5, PDNN and RMA) applied to gene expression data across 71 recombinant inbred mouse brain samples. Results show that, on average, MAS5 outperforms both PDNN and RMA by producing a higher number of functionally cohesive gene sets. These results demonstrate that our literature-based cohesion analysis can provide an objective method for evaluation of normalization procedures.
Problem solving was compared for English Learners and English Primary students who had used Animal Watch, an algebra-readiness ITS. Data records for word problems solved by students in both language groups were locate...
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This paper describes a co-evolutionary algorithm for generating simple spatially oriented tactics and considers whether students can learn better by playing against co-evolved opponents or by playing against an expert...
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One of the most successful recommender system, collaborative filtering (CF) still has problems: sparsity deteriorating the accuracy of recommendation and scalability making it difficult to expand data smoothly. In par...
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In this paper the authors describe a novel way to conduct large-scale human studies achieving the maximum outreach and impact with the minimum cost. An iPhone health application, 'Walk n' Play', was develo...
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Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model we assume that we have access to one v...
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ISBN:
(纸本)9780974903965
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model we assume that we have access to one versus all queries that given a point s Ε S return the distances between s and all other points. We show that given a natural assumption about the structure of the instance, we can efficiently find an accurate clustering using only O(k) distance queries. We use our algorithm to cluster proteins by sequence similarity. This setting nicely fits our model because we can use a fast sequence database search program to query a sequence against an entire dataset. We conduct an empirical study that shows that even though we query a small fraction of the distances between the points, we produce clusterings that are close to a desired clustering given by manual classification.
We describe an approach for a class of tangible interaction elements that are applicable across a broad variety of interactive systems. These tangibles share certain physical, visual, tagging, and software conventions...
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ISBN:
(纸本)9781605588414
We describe an approach for a class of tangible interaction elements that are applicable across a broad variety of interactive systems. These tangibles share certain physical, visual, tagging, and software conventions, while fostering diversity in many aspects of design and function. Building on related techniques using paper and graspable artifacts as interactive embodiments of digital information, we propose several fixed and free parameters, present illustrative examples and applications, and discuss the resulting design space. Copyright 2010 ACM.
Micro Aerial Vehicles (MAVs) and larger Unmanned Aerial Vehicles (UAVs) constitute a powerful tool for the modern warfighter and first responder. However, every developing technology must first be tested before being ...
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Glutamine synthetase (GS) is a key enzyme in nitrogen metabolism in plants. One of the GS isoforms in plants, GS1, is transcriptionally regulated. Our recent studies show that a soybean GS1, Gmglnβ 1, gene is posttra...
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ISBN:
(纸本)9781617381119
Glutamine synthetase (GS) is a key enzyme in nitrogen metabolism in plants. One of the GS isoforms in plants, GS1, is transcriptionally regulated. Our recent studies show that a soybean GS1, Gmglnβ 1, gene is posttranscriptionally regulated by its 3′UTR. It is of interest to know if the 3′UTR-mediated posttranscriptional regulation of GS1 genes is a universal phenomenon or is it limited to Gmglnβ 1 gene only. The 3′UTR-mediated posttranscriptional regulation of alfalfa GS1 genes (MsGS100 and MsGS13) was investigated using both computational and biological approaches. For our first set of study, we used CisFind, a software tool that identifies unextendable common patterns among sequences, to analyze the 3′UTRs of GS1 genes. CisFind analysis of the 3′UTRs showed that the 3′UTR of MsGS100 shared common putative cis-element motifs with the Gmglnβ 1 3′UTR whereas these elements were absent in the 3′UTR of MsGS13 gene. The computational results were verified using transgenic approach, and the results confirmed the computational analysis. The 3′UTR of MsGS 100 plays a similar role as the 3′UTR of Gmglnβ 1 gene in posttranscriptional regulation of a reporter gene while the 3′UTR of the MsGS13 does not. CisFind, was also used in analyzing the region in the 3′UTR of MsGS13 that could be responsible for its nodule enhanced expression (by detecting putative cis-elements that are overrepresented in the 3′UTR of nodule-enhanced GS1 genes).
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