Published May 27, 2022
| Version v1
Publication
Inferring gene coexpression networks with Biclustering based on Scatter Search
Description
The identification of regulatory modules is one of
the most important tasks in order to discover disease markers.
This paper presents a methodology to infer coexpression
networks based on local patterns in gene expression data
matrix. In the proposed algorithm two steps can clearly be
differentiated. Firstly, a Biclustering procedure that uses a
Scatter Search schema to find biclusters and, secondly, a net work extraction procedure based on linear correlations among
the genes of the previously obtained bicluster. Experimental
results from Yeast cell Cycle are reported where three different
algorithms have been applied. Also, a possible understanding
of one of the obtained networks has been presented from a
biological point of view.
Abstract
Ministerio de Ciencia e Innovación TIN2007-68084-C02Abstract
Ministerio de Ciencia e Innovación PCI2006-A7-0575Abstract
Junta de Andalucía P07-TIC-02611Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/133787
- URN
- urn:oai:idus.us.es:11441/133787