consensusDE

consensusDE performs differential expression (DE) analysis of RNA-seq data by integrating results from multiple algorithms to identify consensus differentially expressed genes.

Key Features:

• Multi-algorithm DE analysis: Supports "Voom", "EdgeR", and "DESeq" algorithms for differential expression analysis.
• Consensus integration: Seeks consensus from multiple DE methods to improve reliability of results.
• Unwanted variation removal: Optionally uses RUV-seq to remove unwanted sources of variation.

Scientific Applications:

• RNA-seq differential expression: Identifies differentially expressed genes from RNA-seq data using multiple algorithms.

Methodology:

The package performs DE analysis using multiple algorithms and seeks consensus from the results; optionally uses RUV-seq for removal of unwanted variation.