22 papers · ranked by Valyu relevance
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…
Alexandr A. Kalinin, Selvam Palanimalai, Junqi Zhu, Wenyi Wu + 5 more
'Nikhil Devraj' 'Chunchun Ye' 'Nellie Ponarul' 'Syed S. Husain' 'Ivo D. Dinov'] Many systems for exploratory and visual data analytics require platform-dependent software installation, coding skills, and analytical expertise. The rapid advances in data-acquisition, web-based information, and communication and…
Brian Montambault, Camelia D. Brumar, Michael Behrisch, Remco Chang
The visual analytics community has a long history in the research and development of systems for anomaly detection, dating back the original visual analytics research agendas proposed by Thomas and Cook and Keim et al. . However, most of these visual analytics systems have been designed to help analysts detect…
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…
Chng Wei Lau, Zhonglin Qu, Daniel Draper, Rosa Quan + 8 more
'Andrew Bluff' 'Dongmo Zhang' 'Andrew Johnston' 'Paul J. Kennedy' 'Simeon Simoff' 'Quang Vinh Nguyen' 'Daniel Catchpoole'] The significant advancement of inexpensive and portable virtual reality (VR) and augmented reality devices has re-energised the research in the immersive analytics field. The immersive environment…
Lu Ying, Aoyu Wu, Haotian Li, Zikun Deng + 6 more
'Yong Wang' 'Huamin Qu' 'Dazhen Deng' 'Yingcai Wu'] Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academic community constantly designs and implements new designs, the designs are difficult to…
Jaka Kokošar, Cagatay Turkay, Luka Avsec, Miha Štajdohar + 1 more
We introduce a visual analytics methodology for survival analysis, and propose a framework that defines a reusable set of visualization and modeling components to support exploratory and hypothesis-driven biomarker discovery. Survival analysis—essential in biomedicine—evaluates patients’ survival rates and the onset of…
Andre Kushniruk, Jee Hang Lee, Mangyeong Lee, Yasmeen Anjeer Alshehhi + 6 more
'Yasmeen Anjeer Alshehhi' 'Ji Hwan Park' 'Gyuwon Jung' 'Heejeong Lim' 'Kyungsik Han' 'Hyungsook Kim' 'Uichin Lee'] Background Digital health interventions (DHIs) are widely used to manage users’ health in everyday life through digital devices. The use of DHIs generates various data, such as records of intervention use…
Jaka Kokošar, Cagatay Turkay, Luka Ausec, Miha Štajdohar + 2 more
We introduce a visual analytics methodology for survival analysis, and propose a framework that defines a reusable set of visualization and modeling components to support exploratory and hypothesis-driven biomarker discovery. Survival analysis-essential in biomedicine-evaluates patients‘ survival rates and the onset of…
Rita Kukafka, Huan He, Timothy Vaughan, Jan Scheer + 8 more
'Nicolas Brich' 'Lina Weinert' 'Nandhini Santhanam' 'Michael Krone' 'Thomas Ganslandt' 'Martin Boeker' 'Till Nagel'] Background Visual analysis and data delivery in the form of visualizations are of great importance in health care, as such forms of presentation can reduce errors and improve care and can also help…
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…
Alvitta Ottley
The quest to develop intelligent visual analytics (VA) systems capable of collaborating and naturally interacting with humans presents a multifaceted and intriguing challenge. VA systems designed for collaboration must adeptly navigate a complex landscape filled with the subtleties and unpredictabilities that…
Niklas Elmqvist, Panagiotis D. Ritsos, Peter W. S. Butcher
Spatial computing, generative AI, and open web standards are converging. Three spatial operating systems -- Android XR, Meta Horizon OS, and Apple visionOS -- now ship with platform-level scene understanding. Wearable displays span the range from full headsets to slim smartglasses. Agentic AI operates on the same…
Klaus Eckelt, Patrick Adelberger, Markus J. Bauer, Thomas Zichner + 1 more
We propose an interactive visual analytics approach for the characterization and comparison of patient subgroups (i.e., cohorts). Despite having the same disease and similar demographic characteristics, patients respond differently to therapy. One reason for this is the vast number of variables in the genome that…
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…
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…
Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri
The new age of digital growth has marked all fields. This technological evolution has impacted data flows which have witnessed a rapid expansion over the last decade that makes the data traditional processing unable to catch up with the rapid flow of massive data. In this context, the implementation of a big data…
Fernanda I. Saldívar-González, José L. Medina-Franco
Chemical space is a powerful, general, and practical conceptual framework in drug discovery and other areas in chemistry that addresses the diversity of molecules and it has various applications. Moreover, chemical space is a cornerstone of chemoinformatics as a scientific discipline. In response to the increase in the…
Ye Tao, Anand D. Sarwate, Sandeep Panta, Jessica Turner + 2 more
Data visualizations are an integral part of neuroimging research, supporting activities ranging from exploratory data analysis to the interpretation and communication of findings. While essential, visualizations can also reveal private information about individual participants. In this paper, we discuss how…
David Meijer, Marnix H. Medema, Justin J. J. van der Hooft
Effective visualization of small molecules is paramount in conveying concepts and results in cheminformatics. Scalable vector graphics (SVG) are preferred for creating such visualizations, as SVGs can be easily altered in post-production and exported to other formats. A wide spectrum of software applications already…
Sergio Pablo-García, Raúl Pérez-Soto, Albert Sabadell-Rendón, Diego Garay-Ruiz + 2 more
In the study of chemical reactions, visualizing reaction networks is pivotal for identifying crucial compounds and reactions. Traditional methods, such as network schematics and reaction path linear plots, often struggle to effectively represent complex reaction networks due to their size and intricate connectivity.…
Dimitar Georgiev, Simon Vilms Pedersen, Ruoxiao Xie, Álvaro Fernández-Galiana + 2 more
Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardisation, and the…