Extra Recipes Steps for Dealing with Omics Data
Coefficient of variation
Pipe operator
S3 methods for tracking which additional packages are needed for steps...
scimo: Extra Recipes Steps for Dealing with Omics Data
Feature aggregation step based on a hierarchical clustering
Feature aggregation step based on a defined list
Feature normalization step using total sum scaling
Feature selection step using background level
Feature selection step using the coefficient of variation
Feature selection step using Kruskal test
Feature selection step using Wilcoxon test
Taxonomic clades feature generator
Decide which variable to keep
Omics data (e.g. transcriptomics, proteomics, metagenomics...) offer a detailed and multi-dimensional perspective on the molecular components and interactions within complex biological (eco)systems. Analyzing these data requires adapted procedures, which are implemented as steps according to the 'recipes' package.