24 papers · ranked by Valyu relevance
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.…
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: ## 5.1 Case 1: Juxtaposed Views…
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…
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…
Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf + 4 more
The introduction of machine learning to small molecule research – an inherently multidisciplinary field in which chemists and data scientists combine their expertise and collaborate – has been vital to making screening processes more efficient. In recent years, numerous models that predict pharmacokinetic properties or…
Yi Chen, Caixia Wu, Qinghui Zhang, Di Wu
With the availability of big data for food safety, more and more advanced data analysis methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which has emerged in recent years, integrates human and machine intelligence into the data analysis process in a visually interactive manner…
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…
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…
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…
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…
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…
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…
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…
Roberta Cabral Mota, Nivan Ferreira, Julio Daniel Silva, Marius Horga + 5 more
Interchangeable displays only one data instance at a time and gradually transitions over time through either an automated or user-controlled animation; the data instances are co-registered in the same coordinate space. This has the advantage that each data instance is displayed at a full scale, without occlusion from…
Ouxun Jiang, Camillia Matuk, Madhumitha Gopalakrishnan, Wen Xu + 5 more
Data visualizations are used widely to help people see patterns in data across research, policy, education, and business. Computer screens allow these visualizations to become animated, which can effectively show processes of change. While animations can be engaging, ineffective design can also make them confusing or…
Muhammed Khawatmi, Yoann Steux, Saddam Zourob, Heba Z. Sailem
Effective visualisation of quantitative microscopy data is crucial for interpreting and discovering new patterns from 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…
Boyi Guo, Stephanie C. Hicks
The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve…
Evandro S. Ortigossa, Fábio F. Dias, Diego C. Nascimento, Luis Gustavo Nonato
1 Institute of Mathematics and Computer Science, University of São Paulo (ICMC-USP), São Carlos 13566-590, Brazil 2 Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel 3 Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA 4 NEOMA Business…
Silke Schwandt, Christian Wachter
Visualizations are ubiquitous in data-driven research, serving as both tools for knowledge production and genuine means of knowledge communication. Despite criticisms targeting the alleged objectivity of visualizations in the digital humanities (DH) and reflections on how they may serve as representations of both…
Alexander Gall, Anja Heim, Eduard Gröller, Christoph Heinzl
Glyphs Authors: ['Alexander Gall' 'Anja Heim' 'Eduard Gröller' 'Christoph Heinzl'] Analyzing complex and large data as generated in non-destructive testing (NDT) is a time-consuming and mentally demanding challenge. Such data is heterogeneous and integrates primary and secondary derived data from materials or material…
Arvind Srinivasan, Johannes Ellemose, Peter Butcher, Panagiotis D. Ritsos + 1 more
Perception Over Time Authors: Arvind Srinivasan, Johannes Ellemose, Peter Butcher, Panagiotis D. Ritsos, Niklas Elmqvist Title: Attention-Aware Visualization: Tracking and Responding to User Perception Over Time Authors: Arvind Srinivasan, Johannes Ellemose, Peter Butcher, Panagiotis D. Ritsos, Niklas Elmqvist Content…
Dagny Aurich, Aida Horaniet Ibañez
We refer to data visualization as the graphical representation of data, using a variety of visual encoding methods (a representational approach), as well as the use of a graphical representation, to model interpretation and generate or augment data (a non-representational approach). The applications vary (e.g.…