Onassis-class: Onassis-class

In Onassis: OnASSIs Ontology Annotation and Semantic SImilarity software

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

Onassis documentation built on Nov. 8, 2020, 8:18 p.m.