RT Journal
A1 Wagner, Andreas
T1 Estimating Coarse Gene Network Structure from Large-Scale Gene Perturbation Data
JF Genome Research 
JO Genome Research 
YR 2002 
FD February 01 
VO 12 
IS 2 
SP 309 
OP 315 
DO 10.1101/gr.193902 
UL http://genome.cshlp.org/content/12/2/309.abstract 
AB Large scale gene perturbation experiments generate information about the number of genes whose activity is directly or indirectly affected by a gene perturbation. From this information, one can numerically estimate coarse structural network features such as the total number of direct regulatory interactions and the number of isolated subnetworks in a transcriptional regulation network. Applied to the results of a large-scale gene knockout experiment in the yeast Saccharomyces cerevisiae, the results suggest that the yeast transcriptional regulatory network is very sparse, containing no more direct regulatory interactions than genes. The network comprises >100 independent subnetworks.