David Borland
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View article: An empirical study of counterfactual visualization to support visual causal inference
An empirical study of counterfactual visualization to support visual causal inference Open
Counterfactuals – expressing what might have been true under different circumstances – have been widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals have begun to emerge…
View article: Causal Priors and Their Influence on Judgements of Causality in Visualized Data
Causal Priors and Their Influence on Judgements of Causality in Visualized Data Open
"Correlation does not imply causation" is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlations between variables are shown. In this paper, we investig…
View article: Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis Open
Providing effective guidance for users has long been an important and challenging task for efficient exploratory visual analytics, especially when selecting variables for visualization in high-dimensional datasets. Correlation is the most …
View article: Causal Priors and Their Influence on Judgements of Causality in Visualized Data
Causal Priors and Their Influence on Judgements of Causality in Visualized Data Open
"Correlation does not imply causation" is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlations between variables are shown. In this paper, we investig…
View article: Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis Open
Providing effective guidance for users has long been an important and challenging task for efficient exploratory visual analytics, especially when selecting variables for visualization in high-dimensional datasets. Correlation is the most …
View article: A framework to improve causal inferences from visualizations using counterfactual operators
A framework to improve causal inferences from visualizations using counterfactual operators Open
Exploratory data analysis of high-dimensional datasets is a crucial task for which visual analytics can be especially useful. However, the ad hoc nature of exploratory analysis can also lead users to draw incorrect causal inferences. Previ…
View article: The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression
The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression Open
View article: An empirical study of counterfactual visualization to support visual causal inference
An empirical study of counterfactual visualization to support visual causal inference Open
Counterfactuals – expressing what might have been true under different circumstances – have been widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals have begun to emerge…
View article: Using Counterfactuals to Improve Causal Inferences From Visualizations
Using Counterfactuals to Improve Causal Inferences From Visualizations Open
Traditional approaches to data visualization have often focused on comparing different subsets of data, and this is reflected in the many techniques developed and evaluated over the years for visual comparison. Similarly, common workflows …
View article: ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data
ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data Open
Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCe…
View article: Inferring a cell’s capabilities from omics data with ImmCellFie
Inferring a cell’s capabilities from omics data with ImmCellFie Open
Summary ImmCellFie is a user-friendly, web-based platform for comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. It enables researchers to leverage the powerful mechanistic insight provided by com…
View article: Computational Metrics Can Provide Quantitative Values to Characterize Arthroscopic Field of View
Computational Metrics Can Provide Quantitative Values to Characterize Arthroscopic Field of View Open
Video quality during arthroscopic cases can impact the ease and duration of the case which could contribute to swelling and complication risk. This pilot study provides a quantitative method to assess video quality. Future works can object…
View article: Enabling Longitudinal Exploratory Analysis of Clinical COVID Data
Enabling Longitudinal Exploratory Analysis of Clinical COVID Data Open
As the COVID-19 pandemic continues to impact the world, data is being gathered and analyzed to better understand the disease. Recognizing the potential for visual analytics technologies to support exploratory analysis and hypothesis genera…
View article: Improving Visualization Interpretation Using Counterfactuals
Improving Visualization Interpretation Using Counterfactuals Open
Complex, high-dimensional data is used in a wide range of domains to explore problems and make decisions. Analysis of high-dimensional data, however, is vulnerable to the hidden influence of confounding variables, especially as users apply…
View article: Model-based assessment of mammalian cell metabolic functionalities using omics data
Model-based assessment of mammalian cell metabolic functionalities using omics data Open
Omics experiments are ubiquitous in biological studies, leading to a deluge of data. However, it is still challenging to connect changes in these data to changes in cell functions because of complex interdependencies between genes, protein…
View article: Segmentor: a tool for manual refinement of 3D microscopy annotations
Segmentor: a tool for manual refinement of 3D microscopy annotations Open
View article: Segmentor: A tool for manual refinement of 3D microscopy annotations
Segmentor: A tool for manual refinement of 3D microscopy annotations Open
Background Recent advances in tissue clearing techniques, combined with high-speed image acquisition through light sheet microscopy, enable rapid three-dimensional (3D) imaging of biological specimens, such as whole mouse brains, in a matt…
View article: Image and statistical analysis of melanocytic histology: Image and statistical analysis of melanocytic histology
Image and statistical analysis of melanocytic histology: Image and statistical analysis of melanocytic histology Open
We apply digital image analysis techniques to study selected types of melanocytic lesions.
View article: Appearance normalization of histology slides
Appearance normalization of histology slides Open
This paper presents a method for automatic color and intensity normalization of digitized histology slides stained with two different agents. In comparison to previous approaches, prior information on the stain vectors is used in the plane…
View article: Selection-Bias-Corrected Visualization via Dynamic Reweighting
Selection-Bias-Corrected Visualization via Dynamic Reweighting Open
The collection and visual analysis of large-scale data from complex systems, such as electronic health records or clickstream data, has become increasingly common across a wide range of industries. This type of retrospective visual analysi…
View article: Being the Victim of Intimate Partner Violence in Virtual Reality: First- Versus Third-Person Perspective
Being the Victim of Intimate Partner Violence in Virtual Reality: First- Versus Third-Person Perspective Open
Immersive virtual reality is widely used for research and clinical purposes. Here we explored the impact of an immersive virtual scene of intimate partner violence experienced from the victim's perspective (first person), as opposed to wit…
View article: What does your cell really do? Model-based assessment of mammalian cells metabolic functionalities using omics data
What does your cell really do? Model-based assessment of mammalian cells metabolic functionalities using omics data Open
Large-scale omics experiments have become standard in biological studies, leading to a deluge of data. However, researchers still face the challenge of connecting changes in the omics data to changes in cell functions, due to the complex i…
View article: Ontology-Based Interactive Visualization of Patient-Generated Research Questions
Ontology-Based Interactive Visualization of Patient-Generated Research Questions Open
Background Crohn's disease and colitis are chronic conditions that affect every facet of patients' lives (e.g., social interaction, family, work, diet, and sleep). Thus, treatment consists largely of disease management. The University of N…
View article: Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data Open
The collection of large, complex datasets has become common across a wide variety of domains. Visual analytics tools increasingly play a key role in exploring and answering complex questions about these large datasets. However, many visual…
View article: Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation Open
Temporal event data are collected across a broad range of domains, and a variety of visual analytics techniques have been developed to empower analysts working with this form of data. These techniques generally display aggregate statistics…
View article: Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation
Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation Open
Objective This article reports results from a systematic literature review related to the evaluation of data visualizations and visual analytics technologies within the health informatics domain. The review aims to (1) characterize the var…
View article: The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression
The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression Open
View article: Offenders become the victim in virtual reality: impact of changing perspective in domestic violence
Offenders become the victim in virtual reality: impact of changing perspective in domestic violence Open
View article: The Cell Cycle Browser: an interactive tool for visualizing, simulating, and perturbing cell cycle progression
The Cell Cycle Browser: an interactive tool for visualizing, simulating, and perturbing cell cycle progression Open
The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data col…
View article: Appearance normalization of histology slides
Appearance normalization of histology slides Open