Adam J. Taylor

The paper describes how the Human Tumor Atlas Network shares data through standards, infrastructure, and community engagement, making datasets accessible via multiple platforms.

Miniature generates informative thumbnails for multiplexed tissue imaging data using unsupervised dimensionality reduction to capture tissue heterogeneity and pathological features.

The paper discusses challenges in digital image analysis of cancerous tissues and outlines solutions developed during a 2022 hackathon.

The paper uses deep learning with t-SNE to analyze large datasets and overcome size limitations in bioinformatics.