Markov Chain Ontology Analysis (MCOA).

ABSTRACT:

Background

Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research. Of particular relevance are methods, such as enrichment analysis, that quantify the importance of ontology classes relative to a collection of domain data. Current analytical techniques, however, remain limited in their ability to handle many important types of structural complexity encountered in real biological systems including class overlaps, continuously valued data, inter-instance relationships, non-hierarchical relationships between classes, semantic distance and sparse data.

Results

In this paper, we describe a methodology called Markov Chain Ontology Analysis (MCOA) and illustrate it

SUBMITTER: Frost HR 

PROVIDER: S-EPMC3329418 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature