Yucheng Yang

MuSIC predicts cross-species RBP-RNA interactions using evolutionary conservation and label smoothing, outperforming existing methods and quantifying variant effects on binding.

The paper surveys pseudogene expression in human and macaque brains compared to 29 other tissues, finding elevated and consistent brain expression and associations with neuropsychiatric disorders.

The paper improves brain age estimation using an adversarial convolution network and identifies BAG-associated genes and regulatory networks linked to brain disorders.

The paper expands and refines a reference catalog of human non-canonical open reading frames (ncORFs) by incorporating more datasets and introducing a translation signature score framework to prioritize high-quality ncORFs.

This study uses Mendelian randomization to identify cell type-specific causal genes linking brain imaging phenotypes and disorders, revealing high specificity and potential therapeutic targets.

The paper introduces the EN-TEx resource, which provides personal epigenomes and variant-impact models across multiple tissues, revealing allele-specific loci and their associations with GWAS loci.

This paper outlines a community-driven initiative to create a consolidated catalog of human Ribo-seq ORFs, addressing the lack of standardized annotation for these features.

This paper introduces ThermoNet, a 3D-convolutional neural network that predicts mutation-induced changes in protein thermodynamic stability, showing balanced performance on stabilizing and destabilizing mutations.

The paper develops a custom ENCODE annotation for cancer genomics, highlighting TF-RBP interactions and network rewiring during oncogenesis, and validates findings using experimental assays.