Yuchun Guo

This study develops regRNA Capture-seq to profile regulatory RNAs and demonstrates that targeting these RNAs with ASOs can upregulate gene expression in hepatocytes.

JMnorm improves normalization of epigenetic data by jointly normalizing multiple features across cell types and conditions, preserving biological relationships and enhancing downstream analysis.

IDR2D identifies reproducible genomic interactions by filtering spurious ones from chromatin interaction data.

The paper introduces CID, a computational method for chromatin interaction discovery that improves sensitivity and consistency compared to existing methods.

This paper introduces a novel KSM motif representation and KMAC method for de novo motif discovery, showing improved accuracy in predicting TF binding sites and regulatory variant effects.

The paper introduces a computational method to identify modular regulatory programs from TF binding data, revealing combinatorial binding patterns and their cell-type-specific variations.

EnsembleExpr is an ensemble-based framework that accurately predicts eQTLs using MPRA data and outperforms existing methods in a CAGI challenge.