Published April 25, 2022
| Version v1
Publication
Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure
Description
Biclustering is an unsupervised machine learning technique
that simultaneously clusters genes and conditions in gene expression
data. Gene Ontology (GO) is usually used in this context to validate
the biological relevance of the results. However, although the integration
of biological information from different sources is one of the research
directions in Bioinformatics, GO is not used in biclustering as an input
data. A scatter search-based algorithm that integrates GO information
during the biclustering search process is presented in this paper. SimUI
is a GO semantic similarity measure that defines a distance between two
genes. The algorithm optimizes a fitness function that uses SimUI to
integrate the biological information stored in GO. Experimental results
analyze the effect of integration of the biological information through
this measure. A SimUI fitness function configuration is experimentally
studied in a scatter search-based biclustering algorithm
Abstract
Ministerio de Ciencia e Innovación TIN2011-28956-C02-02Abstract
Ministerio de Ciencia e Innovación TIN2014-55894-C2-RAbstract
Junta de Andalucía P12-TIC-1728Abstract
Universidad Pablo de Olavide APPB813097Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/132533
- URN
- urn:oai:idus.us.es:11441/132533