690 citations · 909 across the 7 of their papers we have counts for
8 papers
Beyond Generating Code: Evaluating GPT on a Data Visualization Course
Chen Zhu-Tian, Chenyang Zhang, Qianwen Wang +5
This paper presents an empirical evaluation of the performance of the Generative Pre-trained Transformer (GPT) model in Harvard's CS171 data visualization course. While previous st…
MITI Minimum Information guidelines for highly multiplexed tissue images
Denis Schapiro, Clarence Yapp, Artem Sokolov +36
The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need…
A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling
Fritz Lekschas, Xinyi Zhou, Wei Chen +3
Small multiples are miniature representations of visual information used generically across many domains. Handling large numbers of small multiples imposes challenges on many analy…
Guidelines for reporting single-cell RNA-Seq experiments
Anja Füllgrabe, Nancy George, Matthew Green +16
Single-cell RNA-Sequencing (scRNA-Seq) has undergone major technological advances in recent years, enabling the conception of various organism-level cell atlassing projects. With i…
Periphery Plots for Contextualizing Heterogeneous Time-Based Charts
Bryce Morrow, Trevor Manz, Arlene E. Chung +2
Patterns in temporal data can often be found across different scales, such as days, weeks, and months, making effective visualization of time-based data challenging. Here we propos…
Tasks, Techniques, and Tools for Genomic Data Visualization
Sabrina Nusrat, Theresa Harbig, Nils Gehlenborg
Genomic data visualization is essential for interpretation and hypothesis generation as well as a valuable aid in communicating discoveries. Visual tools bridge the gap between alg…
Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program
Michael P Snyder, Shin Lin, Amanda Posgai +22
Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…
Visual Pattern-Driven Exploration of Big Data
Michael Behrisch, Robert Krueger, Fritz Lekschas +3
Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a…