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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Katherine S. Pollard

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2 papers indexed here

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Open access Sep 2026

Machine learning reveals sequence and genomic context features underlying Alu-specific effects on genome folding

The Alu transposable element is among the most abundant classes of mobile DNA in the human genome and has been linked to gene regulation and chromatin organization. Yet how individual Alu insertions influence nearby chromatin interactions remains poorly understood. To investigate this, we used deep learning to perform...

Shu Zhang, Katherine S. Pollard · 0 citations
Open access Sep 2026

Causal variant underestimation is a major overlooked driver of sequence-to-function model underperformance

This work systematically compared predicted effect sizes for fine-mapped eQTLs to nearby putatively non-causal SNVs to demonstrate that causal variant underestimation is a core issue facing S2F expression predictors, with future improvements dependent on better local activity detection and enhancer-gene linking.

Shiron Drusinsky, Katherine S. Pollard · 1 citation

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