Onassis-class {Onassis} | R Documentation

## Onassis-class

### Description

Onassis is a container class for annotating samples metadata with concepts from dictionaries/ontologies, creating semantic sets of unique annotations, computing the distances between different semantic sets and eventually comparing the different identified conditions.

### Details

The following methods can be applied to Onassis

`annotate`
`collapse`
`compare`
`dictionary`
`simil`
`entities`
`scores`
`sim`

### Slots

`dictionary`

  One or more input dictionaries to annotate samples metadata

`entities`

  a data frame containing the result of the annotation of the input with ontology terms

`similarity`

  A matrix of the similarities between the entries in the entities slot

`scores`

  An optional score matrix containing genomic units on the rows (genes, regions) and on the columns the elements on the rows of the entities slot

[Package Onassis version 1.6.1 Index]