Bingyuan Zhang

GlyEnzEA: reaction-informed enrichment of enzyme-centered glycan sets from glycomics data

GlyEnzEA constructs enzyme-specific glycan sets from glycomics data and identifies significant changes in specific enzyme groups.

When can site-specific glycoform compositions resolve biosynthetic rates?

This paper evaluates when site-specific glycoform compositions can resolve biosynthetic rates, showing that sufficient panel size, separable responses, and model fit are required for accurate inference.

Enrichment-free glycoproteomics harnessing real-time mass defect-driven glycopeptide classification reveals sex differences in murine fucosylation

The paper develops an enrichment-free glycoproteomics method using mass defect-driven glycopeptide classification to identify sex differences in murine plasma fucosylation.

GlycoMeSH: linking glycan structures to biomedical context for systematic enrichment analysis

GlycoMeSH links glycan structures to biomedical contexts through a database and enrichment workflow, improving association recovery and coverage over existing methods.

Multi-omics definition of the sex-specific glycoproteome of murine tissues

The paper defines sex-specific glycoproteomes in mouse tissues using multi-omics integration, revealing distinct glycoform patterns and enzyme relationships across 19 tissues.

GlycoTraitR: an R package for characterizing structural heterogeneity in N-linked glycoproteomics data

GlycoTraitR is an R package that provides a unified framework for analyzing structural heterogeneity in N-linked glycoproteomics data through trait-based analysis.

GlycanGT: A Foundation Model for Glycan Graphs with Pretrained Representation and Generative Learning

GlycanGT is a foundation model for glycans that uses a graph transformer to improve classification and prediction of glycan structures and properties.

HuTAge: a Comprehensive Human Tissue- and Cell-specific Ageing Signature Atlas

HuTAge integrates cross-tissue age-related data to provide human tissue- and cell-specific ageing molecular information.

A Computational Approach to Interpreting the Embedding Space of Dimension Reduction

This paper introduces a framework to interpret embedding spaces from dimension reduction by mapping biological functions to structural patterns in two datasets.