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Visualizing Summary Statistics and Uncertainty

by K. Potter, J. Kniss, R. Riesenfeld, C. R. Johnson
"... The graphical depiction of uncertainty information is emerging as a problem of great importance. Scientific data sets are not considered complete without indications of error, accuracy, or levels of confidence. The visual portrayal of this information is a challenging task. This work takes inspirati ..."
Abstract - Cited by 27 (3 self) - Add to MetaCart
inspiration from graphical data analysis to create visual representations that show not only the data value, but also important characteristics of the data including uncertainty. The canonical box plot is reexamined and a new hybrid summary plot is presented that incorporates a collection of descriptive

Haploview: analysis and visualization of LD and haplotype maps

by J. C. Barrett, B. Fry, J. Maller, M. J. Daly - BIOINFORMATICS , 2005
"... Summary: Research over the last few years has revealed significant haplotype structure in the human genome. The characterization of these patterns, particularly in the con-text of medical genetic association studies, is becoming a routine research activity. Haploview is a software pack-age that prov ..."
Abstract - Cited by 1275 (6 self) - Add to MetaCart
Summary: Research over the last few years has revealed significant haplotype structure in the human genome. The characterization of these patterns, particularly in the con-text of medical genetic association studies, is becoming a routine research activity. Haploview is a software pack

Visual summary statistics

by Kristin Potter, Joe Kniss, Richard Riesenfeld , 2006
"... Figure 1: (Left) Summary plot of temperature data and (Right) covariance information between temperature and humidity data. Traditionally, statistical summaries of categorical data often have been visualized using graphical plots of central moments (e.g., mean and standard deviation), or cumulants ( ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Figure 1: (Left) Summary plot of temperature data and (Right) covariance information between temperature and humidity data. Traditionally, statistical summaries of categorical data often have been visualized using graphical plots of central moments (e.g., mean and standard deviation), or cumulants

Visual summaries of geographic databases . . .

by Vincenzo Del Fatto , 2009
"... ..."
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Abstract not found

BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks

by Steven Maere, Karel Heymans, Martin Kuiper - Bioinformatics , 2005
"... Summary: The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks v ..."
Abstract - Cited by 535 (4 self) - Add to MetaCart
Summary: The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks

Distributed hierarchical processing in the primate cerebral cortex

by Daniel J. Felleman, David C. Van Essen - Cereb Cortex , 1991
"... In recent years, many new cortical areas have been identified in the macaque monkey. The number of identified connections between areas has increased even more dramatically. We report here on (1) a summary of the layout of cortical areas associated with vision and with other modalities, (2) a comput ..."
Abstract - Cited by 928 (6 self) - Add to MetaCart
In recent years, many new cortical areas have been identified in the macaque monkey. The number of identified connections between areas has increased even more dramatically. We report here on (1) a summary of the layout of cortical areas associated with vision and with other modalities, (2) a

The Central Role of the Propensity Score in Observational Studies for Causal Effects.

by Paul R Rosenbaum , Donald B Rubin - Biometrika , 1983
"... SUMMARY The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates. Application ..."
Abstract - Cited by 2779 (26 self) - Add to MetaCart
SUMMARY The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates

Building Visual Summaries of Clusters of Trajectories

by Gennady Andrienko, Natalia Andrienko
"... A big problem in analysis of movement data (trajectories of moving agents) is how to visualize clusters of trajectories so as to have an overview of all clusters and to be able to compare different clusters. Clusters of trajectories are not disjoint in space but intersect and overlap. Hence, they ne ..."
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A big problem in analysis of movement data (trajectories of moving agents) is how to visualize clusters of trajectories so as to have an overview of all clusters and to be able to compare different clusters. Clusters of trajectories are not disjoint in space but intersect and overlap. Hence

TOWARDS VISUAL SUMMARIES OF GEOGRAPHIC DATABASES BASED ON CHOREMS

by Robert Laurini
"... For many applications, it is very important to get an overview of database contents; and in the case of geographic database, a visual summary can be very helpful for a decision-maker or for any person in charge of a territory. To get such a visual summary, a two-step process is built, first a phase ..."
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For many applications, it is very important to get an overview of database contents; and in the case of geographic database, a visual summary can be very helpful for a decision-maker or for any person in charge of a territory. To get such a visual summary, a two-step process is built, first a phase

A visual summary for linked open data sources

by Fabio Benedetti, Sonia Bergamaschi, Laura Po - International Semantic Web Conference (Posters & Demos , 2014
"... Abstract. In this paper we propose LODeX, a tool that produces a represen-tative summary of a Linked open Data (LOD) source starting from scratch, thus supporting users in exploring and understanding the contents of a dataset. The tool takes in input the URL of a SPARQL endpoint and launches a set o ..."
Abstract - Cited by 8 (4 self) - Add to MetaCart
of pre-defined SPARQL queries, from the results of the queries it generates a visual summary of the source. The summary reports statistical and structural informa-tion of the LOD dataset and it can be browsed to focus on particular classes or to explore their properties and their use. LODeX was tested
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