Andreas Gschwind
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argschwind.bsky.social
Andreas Gschwind
@argschwind.bsky.social
Research Scientist at Stanford University. Interested in everything genomics and computational biology.
Reposted by Andreas Gschwind
Update: scE2G is now online at Nature Genetics!

Since the preprint, we added a new benchmark on a fully held-out CRISPR dataset. scE2G continues to show state-of-the-art performance, reinforcing that it generalizes well

nature.com/articles/s41588-026-02695-8

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August 4, 2026 at 12:27 AM
Thrilled to share that our ENCODE enhancer–gene mapping paper is now out in Nature!

An encyclopedia of human enhancer–gene regulatory interactions: www.nature.com/articles/s41...

Thread 👇

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An encyclopedia of human enhancer–gene regulatory interactions - Nature
An encyclopedia of more than 92 million enhancer–gene regulatory interactions created as part of the ENCODE4 project provides a valuable resource for future studies of gene regulation and human geneti...
www.nature.com
July 15, 2026 at 3:41 PM
Reposted by Andreas Gschwind
🧬 How do immune disease-relevant variants affect gene regulatory networks in CD4+ T cells?

🧪🖥️ We coupled two large-scale CRISPRi screens (>4M cells) to map the downstream cascades of thousands of SNPs

More details in the thread below 👇 or in the article 📖 on biorxiv tinyurl.com/CD4screens
March 12, 2026 at 8:10 AM
Reposted by Andreas Gschwind
New preprint from our lab!

What can we learn about the properties of gene regulatory elements by CRISPR’ing a random set of accessible sites in human cells?

Find out here: www.biorxiv.org/content/10.1...

👇

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September 19, 2025 at 3:03 AM
Reposted by Andreas Gschwind
Excited for a major milestone in our efforts to map enhancers and interpret variants in the human genome:

The E2G Portal! e2g.stanford.edu

This collates our predictions of enhancer-gene regulatory interactions across >1,600 cell types and tissues.

Uses cases 👇

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September 18, 2025 at 4:14 PM
Reposted by Andreas Gschwind
Excited to share our latest preprint on scE2G – a new model to link enhancers to target genes using single-cell data – with state-of-the-art performance across multiple perturbation benchmarks.

biorxiv.org/cgi/content/...

Read more below!

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Mapping enhancer-gene regulatory interactions from single-cell data
Mapping enhancers and their target genes in specific cell types is crucial for understanding gene regulation and human disease genetics. However, accurately predicting enhancer-gene regulatory interac...
biorxiv.org
November 25, 2024 at 8:26 AM