27 papers · ranked by Valyu relevance
Ronald A. Rensink
Traditionally, vision science and information/data visualization have interacted by using knowledge of human vision to help design effective displays. It is argued here, however, that this interaction can also go in the opposite direction: the investigation of successful visualizations can lead to the discovery of…
Carolin Helbig, Lars Bilke, Hans-Stefan Bauer, Michael Böttinger + 2 more
At the beginning of our work, we specified a set of requirements together with domain experts. We summarized them in the use case diagram shown in [pone.0123811.g001]. These requirements relate to the gaps we defined in the introduction and will be presented in the following. For the development of our application, we…
Muhammed Khawatmi, Heba Sailem
Visualization of spatial datasets is essential for understanding biological systems that are composed of several interacting cell types. For example, gene expression data at the molecular level needs to be interpreted based on cell type, spatial context, tissue type, and interactions with the surrounding environment.…
Can Liu, Jaeuk Lee, Tianhe Chen, Zhibang Jiang + 2 more
Interactivity adds a new dimension to visualizations, enabling users to dynamically explore data, uncover hidden patterns, and tailor views to their specific needs. For instance, interactive visualization software like Tableau and Power BI enable real-time filtering and zooming, revealing insights that are typically…
P Mindek, M E Gröller, S Bruckner
Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this…
Victor Cavaller
This article consists of a conceptual analysis-from the perspective of communication sciences-of the relevant aspects that should be considered during operational steps in data visualization. The analysis is performed taking as a reference the components that integrate the communication framework theory-the message…
Authors not listed
For decades, molecular visualization software has been fundamental to education and research in chemistry, structural biology, and materials science. These tools have enabled the inspection of structures, dynamics, and interactions, yet their reliance on two-dimensional (2D) interfaces imposes persistent limitations.…
Anne Thomas Homescu, Teresa Murray
We describe an interactive visualizer (implemented in R Shiny framework) to facilitate analysis and a better understanding of neurotransmitter data collected within the context of epileptic seizures. Given the very high granularity of collected data (at millisecond level), it is challenging to use static visuals and/or…
Qian Zhu, Tao Lü, Shunan Guo, Xiaojuan Ma + 1 more
Visualizations in Immersive Environments Authors: Qian Zhu, Tao Lü, Shunan Guo, Xiaojuan Ma, Yalong Yang Title: CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments Authors: Qian Zhu, Tao Lü, Shunan Guo, Xiaojuan Ma, Yalong Yang Content: #### 4.4 Using the Design Space…
Muhammad Zain Butt, Rana Sheraz Ahmad, Eman Fatima, Muhammad Tahir ul Qamar
The application of Large Language Models (LLMs) for generating data visualizations through natural language interaction represents a promising advance in AI-assisted scientific analysis. However, existing LLM-based tools largely emphasize graph generation, while research workflows require not only visualization but…
Zhigang Lu, Yanyan Zhang
In biological research analysis of large data sets, such as RNA-seq gene expression, often involves visualisation of thousands of data points and associated database query. Static charts produced by traditional tools lack the ability to reveal underlying information, and separated database query is laborious and…
Luke S. Snyder, Jeffrey Heer
DIVI extends prior work on visualization tools, interaction taxonomies, and computational chart interpretation. A variety of visualization languages and systems support custom interaction design. Protovis , D3 , and VisDock allow developers to coordinate interactions with low-level event handlers, providing full…
Martin Šícho, Xuhan Liu, Daniel Svozil, Gerard van Westen
This manuscript describes the development and architecture of the GenUI software platform for integration of molecular generators. The source code for the components of the platform is available in the following repositories: https://github.com/martin-sicho/genui https://github.com/martin-sicho/genui-gui…
Anton Stratmann, Martin Beyß, Johann F. Jadebeck, Katharina Nöh
Understanding input-output relationships within multivariate datasets is an ubiquitous task in the life and data sciences. For this, visual analysis is indispensable for providing expressive summaries and preparing decision-making. We present the visual analysis approach and software MooViE, which is designed to strike…
David Chung, Phil Legg, Matthew L. Parry, Rhodri Bown + 3 more
'I.W. Griffiths' 'Robert S. Laramee' 'Min Chen'] Glyph-based visualization is an effective tool for depicting multivariate information. Since sorting is one of the most common analytical tasks performed on individual attributes of a multi-dimensional data set, this motivates the hypothesis that introducing glyph…
Kevin Mildau, Christoph Büschl, Jürgen Zanghellini, Justin J.J. van der Hooft
Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping, resulting in feature sets…
Nikolaus Piccolotto, Markus Bögl, Silvia Miksch
Computational models, such as simulations, are central to a wide range of fields in science and industry. Those models take input parameters and produce some output. To fully exploit their utility, relations between parameters and outputs must be understood. These include, for example, which parameter setting produces…
Jordan K Matelsky, Joseph Downs, Hannah Cowley, Brock Wester + 1 more
As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public can be especially onerous, as it is challenging to reconcile software dependencies, data…
Ana Lavalle, Alejandro Maté, Juan Trujillo, Stefano Rizzi
—Information visualization plays a key role in business intelligence analytics. With ever larger amounts of data that need to be interpreted, using the right visualizations is crucial in order to understand the underlying patterns and results obtained by analysis algorithms. Despite its importance, defining the right…
Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann + 7 more
Chemical reaction optimization (RO) is an iterative process that results in large and high-dimensional datasets. Current tools only allow for limited analysis and understanding of parameter spaces, making it hard for scientists to review or follow changes throughout the process. With the recent emergence of using…
Maged N Kamel Boulos, Teeradache Viangteeravat, Matthew N Anyanwu, Venkateswara Ra Nagisetty + 1 more
'Venkateswara Ra Nagisetty' 'Emin Kuscu'] The goal of visual analytics is to facilitate the discourse between the user and the data by providing dynamic displays and versatile visual interaction opportunities with the data that can support analytical reasoning and the exploration of data from multiple user-customisable…
Syed S Husain, Alexandr Kalinin, Anh Truong, Ivo D Dinov
Introduction Intuitive formulation of informative and computationally-efficient queries on big and complex datasets present a number of challenges. As data collection is increasingly streamlined and ubiquitous, data exploration, discovery and analytics get considerably harder. Exploratory querying of heterogeneous and…
Simon Warchol, Robert Krueger, Ajit Johnson Nirmal, Giorgio Gaglia + 9 more
New multiplexed tissue imaging technologies have enabled the study of normal and diseased tissues in unprecedented detail. These methods are increasingly being applied to understand how cancer cells and immune response change during tumor development, progression, and metastasis as well as following treatment. Yet…
Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin
'Uwe Aickelin'] Abstract—In this position paper, we present ideas about creating a next generation framework towards an adaptive interface for data communication and visualisation systems. Our objective is to develop a system that accepts large data sets as inputs and provides user-centric, meaningful visual…
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high-throughput screening, diversity analysis, and outlier detection. We present here ChemPlot…
Muhammed Khawatmi, Yoann Steux, Sadam Zourob, Heba Sailem
Intuitive visualisation of quantitative microscopy data is crucial for interpreting and discovering new patterns in complex bioimage data. Existing visualisation approaches, such as bar charts, scatter plots and heat maps, do not accommodate the complexity of visual information present in microscopy data. Here we…
Bridger Herman, Francesca Samsel, Annie Bares, S. R. Johnson + 2 more
Tools that enable rapid visual experimentation like sketching are excellent examples of a broader category of user interfaces known as creativity support tools . Visual creativity is often aided by digital sketch pads, tablets, and other interfaces that enable artists and designers to work directly with their hands…