IRIS-EDA is a comprehensive tool for differential gene expression (DGE) analysis for RNA-seq and single-cell RNA-seq (scRNA-seq) data. The IRIS-EDA algorithm implements edgeR, DESeq2, and limma tools. IRIS-EDA package also includes correlation analysis, heatmap, clustering, biclustering, Principal Component Analysis (PCA), Multidimensional Scaling (MDS), t-distributed Stochastic Neighbor Embedding (t-SNE), and several visualization tools.
RNA-seq
Monier B, McDermaid A, Wang C, Zhao J, Miller A, Fennell A, Ma Q "IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis." PLoS Comput Biol. 2019 Feb 14;15(2):e1006792. eCollection 2019 Feb. https://doi.org/10.1371/journal.pcbi.1006792
PMID: 30763315
PMCID: PMC6392338
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