Xiuxia Du

The Everything Bagel Feature Finder: Ultra-fast automated feature finding for untargeted metabolomics

The Everything Bagel feature finder automates metabolomics data processing, achieving comparable or better performance than existing methods with significantly reduced computational time.

Exploring the Restoration of Memory Post-NeuronalRegeneration from Induced ALS-FTD in Dugesia tigrina

This study shows that memory capability persists after neuronal regeneration in planarians but memory quality decreases following oxidative stress-induced neuronal damage.

Constructing a consensus serum metabolome

The paper constructs a consensus serum metabolome from over 100,000 mass spectrometry acquisitions, revealing gaps in current databases and improving LC-MS metabolomics annotation.

The unknown lipids project: harmonized methods improve compound identification and data reproducibility in an inter-laboratory untargeted lipidomics study

The paper improves compound identification and inter-laboratory reproducibility in untargeted lipidomics using harmonized methods and spectral analysis.

Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS.

The paper develops a machine learning workflow for auto-deconvolution of GC-MS data within GNPS, enabling molecular networking and applications in breathomics and volatilome mapping.