Batch Effect Correction in Chromium Single Cell ATAC Data - 10x Genomics
12. Data integration — Single-cell best practices
Frontiers | deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench
Fast, sensitive and accurate integration of single-cell data with Harmony | Nature Methods
IJMS | Free Full-Text | IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks
Fast, sensitive and accurate integration of single-cell data with Harmony | Nature Methods
8 Batch effect correction | Analysis workflow for IMC data
Fast, sensitive and accurate integration of single-cell data with Harmony | Nature Methods
UMAPs before (a) and after batch correction using (b) Harmony, (c)... | Download Scientific Diagram
Single-cell RNA-seq Workshop: <b style="font-size:45px;">Dataset alignment and batch correction</b>
Are batch effects still relevant in the age of big data?: Trends in Biotechnology
7 Normalization, confounders and batch correction | Analysis of single cell RNA-seq data
Quick start to Harmony • harmony
Fast, sensitive and accurate integration of single-cell data with Harmony | Nature Methods
IJMS | Free Full-Text | IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks
Comparison of SAVERCAT with Seurat, Harmony and scVI in removing batch... | Download Scientific Diagram
IJMS | Free Full-Text | IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks
Comparison of batch effect correction methods for the human... | Download Scientific Diagram
scATAC-seq data integration • Signac
Webinar: Fast, sensitive, and accurate integration of single-cell data with Harmony | Ilya Korsunsky - YouTube
Webinar: Fast, sensitive, and accurate integration of single-cell data with Harmony | Ilya Korsunsky - YouTube
Batch Effect in Single-cell RNA-seq: Frequently Asked Questions
Genome Biology on X: "Tran, Ang, Chevrier, Zhang, Chen and co present a benchmark for batch effect correction methods for scRNA-seq data, to allow integration of different batches. Benchmarked on 10 datasets
Publication highlight: Benchmarking scRNA-seq batch correction methods - 10x Genomics
about batch correction in scRNA-seq
Batch correction using the Harmony algorithm. (A) Single cell UMAP... | Download Scientific Diagram
A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text
