20 papers · ranked by Valyu relevance
Gota Morota, Hao Cheng, Dianne Cook, Emi Tanaka
Statistical graphics, and data visualization, play an essential but under-utilized, role for data analysis in animal science, and also to visually illustrate the concepts, ideas, or outputs of research and in curricula. The recent rise in web technologies and ubiquitous availability of web browsers enables easier…
Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke
From these observations, it is clear that series-wise data aggregation is most suitable for effective time series visualization. Next to this, in contrast with a custom plotting language (e.g., HoloViews), we opted to build upon Plotly. By complying with the "Don't reimplement the wheel"-mantra, our toolkit leverages…
Yuan Tang
With the help of base graphics, grid graphics, and lattice graphics (Sarkar, 2008), R users already have many plotting options to choose from. Each has their own unique customization and extensibility options. Nowadays, ggplot2 has emerged as a popular choice for creating visualizations (Wickham, 2009) and provides a…
Marten Postma, Joachim Goedhart
Reporting of the actual data in graphs and plots increases transparency and enables independent evaluation. On the other hand, data summaries are often used in graphs because they aid interpretation. To democratize state-of-the-art data visualization of raw data with a selection of statistical summaries, a freely…
Lucy Todd, Arthur Fordham, Ben Deacon, Marc-Olivier Coppens
In a world filled with high-quality scientific data, how much of it is truly being understood and utilised? LION Data is a Local, Interactive, Online, Networking data visualisation software specifically designed to address the requirements for scientists publishing data and users accessing it. This software allows…
Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä + 1 more
'Kai Puolamäki'] > Abstract. χiplot is an HTML5-based system for interactive exploration of data and machine learning models. A key aspect is interaction, not only for the interactive plots but also between plots. Even though χiplot is not restricted to any single application domain, we have developed and tested it…
Christoffer Frisk
The rapid growth of biological data from omics and transcriptomics research necessitates tools that streamline data visualisation and interpretation. Existing solutions for RNA-Seq analysis are often complex. Rnalys was developed as a lightweight, open-source web application tailored for the downstream analysis of…
S. Mason Garrison
Title: Summary Pedigree diagrams underpin research and practice across genetics, animal breeding, genealogy, forensics, and counseling. They help medical geneticists trace the inheritance of Mendelian diseases and identify at-risk relatives; enable dairy breeders to plan matings that improve milk yield; support…
Arsenij Ustjanzew, Jens Preussner, Mette Bentsen, Carsten Kuenne + 1 more
Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation and display of such…
Xiaotong Luo, Ying Shi, Hao Huang, Hongge Wang + 7 more
High-quality bioinformatics plotting is important for biology research, especially when preparing for publications. However, the long learning curve and complex coding environment configuration often appear as inevitable costs towards the creation of publication-ready plots. Here, we present PlotGDP…
Svetlana Ovchinnikova, Simon Anders
In any research project involving data-rich assays, exploratory data analysis is a crucial step. Typically, this involves jumping back and forth between visualizations that provide overview of the whole data and others that dive into details. In data quality assessment, for example, it might be very helpful to have one…
Mark S. Keller, Nils Gehlenborg
Tools used for implementing visualization software systems can generally be divided into camps such as static versus interactive and desktop versus web-based. We contribute Pluot, an architecture that bridges these divides, enabling a single software implementation of a visualization to be used regardless of the target…
Michael C. Thrun, Tino Gehlert, Alfred Ultsch, Fatemeh Vafaee
One aim of data mining is the identification of interesting structures in data. For better analytical results, the basic properties of an empirical distribution, such as skewness and eventual clipping, i.e. hard limits in value ranges, need to be assessed. Of particular interest is the question of whether the data…
Jordan K. Matelsky, Joseph Downs, Hannah P. Cowley, Brock Wester + 1 more
Using modern web-based visualization frameworks makes it easy to generate beautiful, interactive, and informative visualizations of scientific data. These renderings simplify the processes of exploring data and sharing insights with the community. In many domains, this has become a key step in the research and…
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…
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…
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…
Arnd Gross, Sibylle Schirm, Markus Scholz
Background Mathematical modelling of biological processes often requires a large variety of different data sets for parameter estimation and validation. It is common practice that clinical data are not available in raw formats but are provided as graphical representations. Hence, in order to include these data into…
Authors not listed
Large Language Models have demonstrated impressive capabilities in natural language understanding and processing. However, as AI and LLMs continue to evolve, their ability to accurately and efficiently interpret data from scientific figures and plots remains obscure. In this study, we test and evaluate the ability of…
Yumeng Xue, Patrick Paetzold, Rebecca Kehlbeck, B. Chen + 3 more
Line-based plots are a popular way to visualize time series data and trajectory data . These plots are widely used across domains, such as finance, healthcare, and navigation, to highlight evolving trends in complex datasets. To emphasize patterns and gain insights, two effective techniques are line coloring and…