Research Articles
Redundancy in Metabolic Flux Analysis: From Core Concepts to Cutting-Edge Applications in Biomedical Research
This article provides a comprehensive overview of redundancy in metabolic flux analysis (MFA) for researchers and drug development professionals.
Taming the Tail: Advanced Statistical Strategies for Non-Normal Metabolomics Data
This article provides a comprehensive guide for metabolomics researchers and pharmaceutical scientists on addressing the pervasive challenge of skewed data distributions in statistical analysis.
Beyond the Optimum: Mastering Alternate Flux Solutions in FBA for Robust Metabolic Modeling
This article provides a comprehensive guide to alternate optimal solutions (AOS) in Flux Balance Analysis (FBA) for researchers and drug development professionals.
Building a Robust Data-Adaptive Filtering Pipeline: A Step-by-Step Guide for LC-MS Metabolomics
This article provides a comprehensive guide for researchers developing or optimizing data filtering pipelines for liquid chromatography-mass spectrometry (LC-MS) metabolomics.
Beyond the Noise: A Cross-Platform Guide to Optimal Metabolomics Data Filtering for Biomarker Discovery
This comprehensive review addresses the critical challenge of data filtering in cross-platform metabolomics studies, which is essential for robust biomarker identification and clinical translation.
Decoding Metabolism: A Comparative Guide to Flux Distribution Algorithms for Systems Biology
This article provides a comprehensive overview for systems biology researchers and metabolic engineers comparing the flux distributions predicted by different computational algorithms.
Filtering Revolution: Data-Adaptive vs Traditional Approaches in Modern Metabolomics Research
This article provides a comprehensive comparison of data-adaptive filtering versus traditional statistical methods in metabolomics data analysis.
Unlocking Metabolic Predictions: A Comparative Guide to FBA Objective Functions for Underdetermined Systems
Flux Balance Analysis (FBA) is a cornerstone of constraint-based metabolic modeling, but its predictions hinge critically on the chosen objective function, especially for underdetermined systems with infinite flux solutions.
XCMS vs MetaboAnalyst: A 2024 Performance Guide to Peak Filtering for Precision Metabolomics
This comprehensive guide provides researchers, scientists, and drug development professionals with an up-to-date comparative analysis of peak filtering in XCMS and MetaboAnalyst.
Navigating the Noise: Overcoming Uninformative Features in Untargeted Metabolomics for Robust Biomarker Discovery
Untargeted metabolomics generates complex datasets rich with biological potential but plagued by uninformative features—chemical noise from contaminants, artifacts, and irrelevant biological variation.