Article

Integrated workflow for univariate and multivariate evaluation of batch correction reliability

2025-11-27

Abstract excerpt

<title>Abstract</title> <p>Assessing batch correction methods remains a major challenge in metabolomics, as no consensus currently exists for a generic and reliable evaluation strategy. Given the strong influence of batch effects on downstream statistical analyses, establishing a robust framework for their assessment is crucial to ensure result reproducibility and validity. This study presents a comprehensive wor...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8ace5e08-fc26-57e3-99ac-ce5bfe31220b
DOI: 10.21203/rs.3.rs-8158757/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrated workflow for univariate and multivariate evaluation of batch correction reliabilityDOI 10.21203/rs.3.rs-8158757/v1Read

A benchmarking workflow for assessing the reliability of batch correction methodsSemantic proximity Read

BatchVaria: a variance-aware framework for evaluating batch correction in high-dimensional omics dataSemantic proximity Read

Data-adaptive pipeline for filtering and normalizing metabolomics dataSemantic proximity Read

The Impact of Data Treatment Strategies on the Analysis of Bacterial Metabolomics DataSemantic proximity Read

Variable-Selection ANOVA Simultaneous Component Analysis (VASCA)Semantic proximity Read

Probabilistic quotient’s work & pharmacokinetics’ contribution: countering size effect in metabolic time series measurementsSemantic proximity Read

Artificial Intelligence-Augmented Analytical Method Development and Validation in Pharmaceutical Manufacturing: Current Applications, Regulatory Landscape, and Future DirectionsSemantic proximity Read

A novel definition of the multivariate coefficient of variation.Semantic proximity Read

Pipelines and Systems for Threshold Avoiding Quantification of LC-MS/MS dataSemantic proximity Read

Novel protocol for metabolomics data normalization and biomarker discovery in human tearsSemantic proximity Read

Impacts of batch effects on the performance of machine learning classifiers across multiple studiesSemantic proximity Read

Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategySemantic proximity Read