InfernoRDN 1.1

InfernoRDN can perform various downstream data analysis, data reduction, and data comparison tasks including normalization, hypothesis testing, clustering, and heatmap generation.
InfernoRDN is a Windows application that provides an easy-to-use, graphical front-end to R for common data analysis tasks in "omics", with an emphasis on proteomics.

Some of the features included with InfernoRDN:

- A set of diagnostic plots (Histograms, boxplots, correlation plots, qq-plots, peptide-protein rollup plots, MA plots, PCA plots, etc).
- Log transforming.
- Rolling up to proteins (3 methods are available).
- LOESS normalization
- Linear Regression Normalization
- Mean Centering
- Median Absolute Deviation (MAD) Adjustment across datasets
- Quantile Normalization
- Principal Component Analysis
- Partial Least Squares Analysis
- ANOVA (multi-way, unbalanced, random effects)
- Heatmaps with Hierarchical and K-means cluster options