consexpressionR: Differential Expression Analysis using consensus of multiple methods

Comprehensive workflow for differential expression (DE) analysis using multiple methods (e.g., DESeq2, edgeR, limma, EBSeq, NOISeq, SAMSeq, KnowSeq) and consensus strategies to derive robust DE gene lists.

See also

Useful links:

• https://costasilvati.github.io/consexpressionR/

• Report bugs at https://github.com/costasilvati/consexpressionR/issues

Author

Maintainer: Juliana Costa-Silva julianacostasilvati@gmail.com (ORCID) [funder]

Authors:

• Juliana Costa-Silva julianacostasilvati@gmail.com (ORCID) [funder]

• David Menotti menottid@gmail.com (ORCID)

• Fabricio M. Lopes fabricio@utfpr.edu.br (ORCID)

Examples

obj <- createExpressionResultSet(
  results = list(edgeR = data.frame(gene = "g1", logFC = 1)),
  methodNames = "edgeR"
)
obj
#> ExpressionResultSet object
#> Methods executed: edgeR
#> Result tables: 1
#> Consensus: not computed or empty.