Performance assessment of seven batch-effect correction methods on cell... | Download Scientific Diagram
Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering | Bentham Science
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data | Analytical Chemistry
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench | bioRxiv
Correcting batch effects in single-cell RNA sequencing data by matching mutual nearest neighbours | bioRxiv
Chapter 4 Methods evaluation | Managing Batch Effects in Microbiome Data
Batch Effect Correction - 10x Genomics
12. Data integration — Single-cell best practices
BatchServer: A Web Server for Batch Effect Evaluation, Visualization, and Correction | Journal of Proteome Research
How to Batch Correct Single Cell. Comparing batch correction methods for… | by Nikolay Oskolkov | Towards Data Science
A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing - ScienceDirect
Comparisons of data integration methods for batch effect correction for... | Download Scientific Diagram
IJMS | Free Full-Text | IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)
Why Batch Effects Matter in Omics Data, and How to Avoid Them - ScienceDirect
A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text
Qualitative evaluation of 14 batch-effect correction methods using UMAP... | Download Scientific Diagram
A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text