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Summary Our benchmarking reveals a surprising truth: in the race to translate massive perturbation datasets into discovery, the most effective mathematical "lens" isn't the most complex one. While sophisticated metrics like Wasserstein or Mean Pairwise are often favored due to their mathematical impressiveness, we found that E-distance and Euclidean distance provide the superior balance of speed and signal resolution for high-throughput pipelines. By delivering sharper biological contrast at a

In this blog, we examine how the “perturbation effect” can vary depending on the metrics used to define it, and why these differences matter. While these metrics may appear interchangeable, they often capture fundamentally different aspects of the underlying biology. As Perturb-seq datasets continue to grow exponentially, understanding how perturbation effects are measured becomes critical for reliable downstream analysis. When suppression is not an on-off switch In 2025, Nadig and colleagues

The most effective technology organizations today are no longer defined by a single geography. They are defined by how intelligently tech companies combine them. In 2026, global tech leadership is about assembling complementary capability — not concentrating everything in one market. That’s where Vietnam, Thailand, and mature tech hubs across the UK, US, and Europe align around real customer needs. US, UK, and Europe: Leadership, and Domain Depth Established tech markets across the US, the UK,