Large-scale inference of the transcriptional regulation of Bacillus subtilis

This paper addresses the inference of the transcriptional regulatory network of Bacillus subtilis. Two inference approaches, a linear, additive model and a non-linear power-law model, are used to analyze the expression of 747 genes from B. subtilis obtained using Affymetrix GeneChip

• Type: Journal
• Year: 2005
• Where: CCE
• Authors: Anshuman Gupta, Jeffrey D. Varner, Costas D. Maranas
• Keywords: CCE 2005, CCE 2007, Global Regulators, Non-linear Power-law, Non-linear Power-law Model