A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text
Batch correction methods for nontarget chemical analysis data: application to a municipal wastewater collection system | Analytical and Bioanalytical Chemistry
Batch-effect correction via MNN. (a) Batch 1 and batch 2 in high... | Download Scientific Diagram
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data | Analytical Chemistry
Why Batch Effects Matter in Omics Data, and How to Avoid Them: Trends in Biotechnology
rna seq - Batch effect correction using a subset of samples - using DE genes - Bioinformatics Stack Exchange
WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis - ScienceDirect
Deseq2 - removing batch effect
Correcting batch effects in single-cell RNA sequencing data by matching mutual nearest neighbours | bioRxiv
A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data | The Pharmacogenomics Journal
Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering | Bentham Science
Single Cell Orange 06: Batch Effect Removal - YouTube
Batch effects between healthy controls from different studies can be... | Download Scientific Diagram