anglemania

anglemania extracts genes from multi-batch scRNA-seq experiments for downstream dataset integration by leveraging gene-gene correlations that are stable across batches to identify biologically informative genes which are less affected by batch effects.

Key Features:

• Stable Correlation-Based Gene Selection: anglemania identifies genes using gene-gene correlations that remain stable across batches rather than relying on highly-variable genes.
• Batch Effect Robustness: The selected genes are less affected by batch effects compared to conventional highly-variable gene approaches.
• Multi-Batch Downstream Analysis Compatibility: Extracted genes can be used for integration tasks and other multi-batch analyses including NMF.

Scientific Applications:

• Single-Cell RNA-seq Dataset Integration: anglemania improves upon conventional highly-variable gene usage for many scRNA-seq integration tasks.
• Non-Negative Matrix Factorization: The extracted genes can be applied to multi-batch NMF analyses.

Methodology:

anglemania leverages gene-gene correlations that are stable across batches to identify biologically informative genes.