Title
Constructing and Analyzing a Large-Scale Gene-to-Gene Regulatory Network-Lasso-Constrained Inference and Biological Validation
Abstract
We construct a gene-to-gene regulatory network from time-series data of expression levels for the whole genome of the yeast Saccharomyces cerevisae, in a case where the number of measurements is much smaller than the number of genes in the network. This network is analyzed with respect to present biological knowledge of all genes (according to the Gene Ontology database), and we find some of its large-scale properties to be in accordance with known facts about the organism. The linear modeling employed here has been explored several times, but due to lack of any validation beyond investigating individual genes, it has been seriously questioned with respect to its applicability to biological systems. Our results show the adequacy of the approach and make further investigations of the model meaningful.
Year
DOI
Venue
2005
10.1109/TCBB.2005.35
IEEE/ACM Trans. Comput. Biology Bioinform.
Keywords
Field
DocType
gene regulatory network,linear model,molecular biophysics,biological systems,gene network,lasso,genetics,time series data,time series,time series analysis,indexing terms,microorganisms
Genome,Gene,Inference,Saccharomyces cerevisae,Computer science,Linear model,Lasso (statistics),Bioinformatics,Gene regulatory network,Organism
Journal
Volume
Issue
ISSN
2
3
1545-5963
Citations 
PageRank 
References 
19
1.40
11
Authors
3
Name
Order
Citations
PageRank
Mikael Gustafsson1535.96
Michael Hornquist2191.40
Anna Lombardi3191.73