12. Data integration — Single-cell best practices
Frontiers | deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors
Publication highlight: Benchmarking scRNA-seq batch correction methods - 10x Genomics
Data pre-processing for analyzing microbiome data – A mini review - Computational and Structural Biotechnology Journal
Comparison of statistical methods and the use of quality control samples for batch effect correction in human transcriptome data | PLOS ONE
BatchServer: A Web Server for Batch Effect Evaluation, Visualization, and Correction | Journal of Proteome Research
Perspectives for better batch effect correction in mass-spectrometry-based proteomics - Computational and Structural Biotechnology Journal
Evaluation of batch effect correction methods for... - Lauren Sanders - BOSC - Abstract - ISMB 2022 - YouTube
GenomeSpace Recipe: Eliminate batch effects in RNA-seq data
How to Batch Correct Single Cell. Comparing batch correction methods for… | by Nikolay Oskolkov | Towards Data Science
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.
Comparisons of data integration methods for batch effect correction for... | Download Scientific Diagram
Comparison of different batch effect removal approaches. Replicates of... | Download Scientific Diagram
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench | bioRxiv
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)
Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering | Bentham Science
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
Batch effect correction
How to Batch Correct Single Cell. Comparing batch correction methods for… | by Nikolay Oskolkov | Towards Data Science
Batch correction methods for nontarget chemical analysis data: application to a municipal wastewater collection system | Analytical and Bioanalytical Chemistry
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)
Mixed effect model for batch correction
Batch alignment of single-cell transcriptomics data using deep metric learning | Nature Communications
A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text
