Latest

• TidyMass2 Advancing LC-MS Untargeted Metabolomics Through Metabolite Origin Inference and Metabolic Feature-based Functional Module Analysis
• Leveraging Large Language Models for Redundancy-Aware Pathway Analysis and Deep Biological Interpretation
• A multistage, multitask transformer-based framework for multi-disease diagnosis and prediction using personal proteomes
• MetaNet: a scalable and integrated tool for reproducible omics network analysis
• Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease
• Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity
• TidyMass an object-oriented reproducible analysis framework for LC–MS data
• Precision environmental health monitoring by longitudinal exposome and multi-omics profiling
• Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity