Correcting batch effects in single-cell RNA sequencing data by matching mutual nearest neighbours | bioRxiv
Performance assessment of seven batch-effect correction methods on cell... | Download Scientific Diagram
Chapter 2 Batch effect detection | Managing Batch Effects in Microbiome Data
Batch Effect Correction
Hao Yin on X: "Learn RNAseq #BatchCorrection, find this powerful paper🤠 (though mine is not scRNAseq) A benchmark of batch-effect correction methods for single-cell RNA sequencing data 14 methods; 9 datasets Dr.
A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text
BatchServer: A Web Server for Batch Effect Evaluation, Visualization, and Correction | Journal of Proteome Research
Frontiers | deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors
Qualitative evaluation of 14 batch-effect correction methods using UMAP... | Download Scientific Diagram
Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering | Bentham Science
A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies | Scientific Reports
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors | Nature Biotechnology
Comparison of batch effect correction methods for the human... | Download Scientific Diagram
A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies | Scientific Reports
A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing - ScienceDirect
12. Data integration — Single-cell best practices
A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text
Comparisons of data integration methods for batch effect correction for... | Download Scientific Diagram
Perspectives for better batch effect correction in mass-spectrometry-based proteomics - Computational and Structural Biotechnology Journal
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)
Evaluation of batch effect correction methods for... - Lauren Sanders - BOSC - Poster - ISMB 2022 - YouTube
Why Batch Effects Matter in Omics Data, and How to Avoid Them - ScienceDirect
A test metric for assessing single-cell RNA-seq batch correction | Nature Methods
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data | Analytical Chemistry
