bio-differential-expression-batch-correction

What problem does it solve?

Remove batch effects from RNA-seq expression data using multiple correction methods (ComBat-Seq, ComBat, limma's removeBatchEffect, and SVA) to preserve true biological signals across batches.

Core Features & Use Cases

• Supports both count-based corrections (ComBat-Seq) and normalized data corrections (ComBat, limma, SVA).
• Helps when unknown batch variables are present by applying SVA-based approaches.
• Suitable for bulk RNA-seq and aggregated (pseudo-bulk) analyses, improving downstream DE analysis and clustering.

Quick Start

Provide your expression matrix and batch/condition metadata to automatically select and apply a suitable batch-correction method.