27 papers · ranked by Valyu relevance
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…
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…
Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner
Data visualization is an important tool for exploring and communicating findings from genomic and health datasets. Yet, without a systematic way of understanding the design space of data visualizations, researchers do not have a clear sense of what kind of visualizations are possible, or how to distinguish between good…
Julia Keizer, Christian F. Luz, Bhanu Sinha, Lisette van Gemert-Pijnen + 3 more
Data and data visualization are integral parts of (clinical) decision-making in general and stewardship (antimicrobial stewardship, infection control, and institutional surveillance) in particular. However, systematic research on the use of data visualization in stewardship is lacking. This study aimed at filling this…
Rong Ma, Eric D. Sun, James Zou
Dimension reduction and data visualization aim to project a high-dimensional dataset to a low-dimensional space while capturing the intrinsic structures in the data. It is an indispensable part of modern data science, and many dimensional reduction and visualization algorithms have been developed. However, different…
Felix Wiegand, David Lähnemann, Felix Mölder, Hamdiye Uzuner + 3 more
Tabular data, often scattered across multiple tables, is the primary output of data analyses in virtually all scientific fields. Exchange and communication of tabular data is therefore a central challenge. We present Datavzrd, a tool for creating portable, visually rich, interactive reports from tabular data in any…
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…
Nicole Bergen, Katherine Kirkby, Devaki Nambiar, Anne Schlotheuber + 1 more
Several resources and tools have been developed for carrying out health inequality analysis, including the preparation of disaggregated data and calculation of summary measures of health inequality. There is also a body of literature that addresses best practices for the preparation of commonly used graphs and maps.…
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.…
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…
Ana Lavalle, Alejandro Maté, Juan Trujillo
> Abstract. Choosing the right Visualization techniques is critical in Big Data Analytics. However, decision makers are not experts on visualization and they face up with enormous difficulties in doing so. There are currently many different (i) Big Data sources and also (ii) many different visual analytics to be…
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…
Petra Kubernátová, Magda Friedjungová, Max van Duijn
Choosing a suitable visualization for data is a difficult task. Current data visualization recommender systems exist to aid in choosing a visualization, yet suffer from issues such as low accessibility and indecisiveness. In this study, we first define a step-by-step guide on how to build a data visualization…
Eric Rodenbeck
Science, in the popular imagination, is about finding answers to questions. Scientists make discoveries, develop theories, and deliver those discoveries and theories to audiences with an interest in the truth as backed up by science. Well-designed data visualization (dataviz), by contrast, can generate and address not…
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…
Zrinko Kozic, Sam Booker, Owen Dando, Giles Hardingham + 1 more
A key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated way to visualise and interrogate experimental data would: 1) lead to improved understanding of the…
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…
Zach Branson, Monica Paz Parra, Ronald Yurko
Benefits of Incorporating Statistical Thinking Authors: ['Zach Branson' 'Monica Paz Parra' 'Ronald Yurko'] Data visualization is a core part of statistical practice and is ubiquitous in many fields. Although there are numerous books on data visualization, instructors in statistics and data science may be unsure how to…
José F. Rodrigues, Agma JM Traina, Maria Cristina Ferreira de Oliveira, Caetano Traina
'Maria Cristina Ferreira de Oliveira' 'Caetano Traina'] We revisit the design space of visualizations aiming at identifying and relating its components. In this sense, we establish a model to examine the process through which visualizations become expressive for users. This model has leaded us to a taxonomy oriented to…
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…
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…
José F. Rodrigues, Luciana Zaina, M. Beatriz P.P. Oliveira, Bruno Brandoli Machado + 1 more
sciences Authors: ['José F. Rodrigues' 'Luciana Zaina' 'M. Beatriz P.P. Oliveira' 'Bruno Brandoli Machado' 'Agma J. M. Traina'] Information Visualization techniques are built on a context with many factors related to both vision and cognition, making it difficult to draw a clear picture of how data visually turns into…
Daniela Gaytán-Hernández, Ana L. Chávez-Hernández, Edgar López-López, Jazmín Miranda-Salas + 2 more
Science and art have been connected for centuries. With the development of new computational methods, new scientific disciplines have emerged, such as computational chemistry, and related fields, such as chemoinformatics that use informatic methods to solve chemical problems focusing on small molecules.…
Authors not listed
In chemoinformatics, chemical databases have great importance since their main objective is to store and organize the chemical structures of molecules and their properties, from basic information such as chemical structure to more complex like molecular fingerprints or other types of calculated or experimental…
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…
Florian Windhager, Alfie Abduhl-Rahman, Mark-Jan Bludau, Nicole Hengesbach + 4 more
Datafication is the process of transforming aspects of a real-world phenomenon or topic into data that can be processed computationally for different purposes, and is an active process of shaping rather than a mere passive collection (indeed, Drucker uses the term "capta" over the usual "data" to precisely denote this…
Authors not listed
Effective visualization of complex synthesis routes is critical for computeraided synthesis planning (CASP), yet current solutions are limited in scope, integration flexibility, and chemical intuition. We introduce RouteWise, a versatile, containerized web application designed to address these unmet needs. Its modular…