Doc Rowdy

@scrnaseq.bsky.social

JupyterLab is my Winamp visualizer.

As scRNA-seq cohorts grow in scale (e.g. FinnGen, TenK10K), so does the need for methods that can handle millions of cells from thousands of donors. LIVI's scalable design enables systematic trans-eQTL discovery in such datasets, revealing cellular mechanisms underlying complex disease risk. 11/n

Working on trans-eQTL mapping with population-scale scRNA-seq? Meet LIVI, our latest framework that enables efficient trans-eQTL mapping at single-cell resolution across cohorts of hundreds to thousands of donors. Preprint: doi.org/10.64898/202... Summary in the 🧵 below by @danaivagiaki.bsky.social

doi.org

Danai Vagiaki@danaivagiaki.bsky.social · 6mo ago

Delighted to present Latent Interaction Variational Inference (LIVI), a framework for trans-eQTL mapping at single-cell resolution that I developed during my PhD together with colleagues from @steglelab.bsky.social 1/n

the Epstein files are really devastating because they remind me of how many girls and women miss out on professional opportunities, mentorship and careers because of how many powerful, rich and influential men only view girls and women — and interactions with them — through the lens of sex

I made a filterlist for uBlock Origin to remove Generative AI features on websites. Includes blocks for * Google AI Summaries * YouTube Ask button & chat summaries * GitHub Copilot * Facebook AI chat * X's Grok buttons * Deviantart DreamUp * Booru AI images * And more github.com/Stevoisiak/S...

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A reminder that proteins are highly dynamic molecules. 🟧 We have made much progress in measuring & predicting static protein structures, but the dynamics that animate life remain challenging to measure & model.