Published May 27, 2022
| Version v1
Publication
Using prior knowledge in the inference of gene association networks
Description
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open access repositories in the area of gene expression data analysis. In this work, we propose the use of prior knowledge
as heuristic in an inference method of gene-gene associations from gene expression profiles. In this paper, we use Gene
Ontology, which is an open-access ontology where genes are annotated using their biological functionality, as a source of
prior knowledge together with a gene pairwise Gene-Ontology-based measure. The performance of our proposal has been
compared to other benchmark methods for the inference of gene networks, outperforming in some cases and obtaining
similar and competitive results in others, but with the advantage of providing simple and interpretable models, which is a
desired feature for the Artificial Intelligence Health related models as stated by the European Union.
Abstract
Ministerio de Ciencia e Innovación TIN2017-88209-C2-2-RAdditional details
Identifiers
- URL
- https://idus.us.es/handle//11441/133798
- URN
- urn:oai:idus.us.es:11441/133798