Scaling properties of transcription profiles in gene networks
by Renata C. Ferreira, Francisco Bosco, Marcelo R.S. Briones
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 5, No. 2, 2009

Abstract: Here we show that the transcriptional noise is an emergent property with scale invariance from genome level to the level of small Transcriptional Regulatory Genetic Networks (TRGN). We show that a small set of 9-12 genes reproduces the geometric mean value of transcriptional noise of the largest percolating networks and the whole 93-gene wide TRGN sub-network. Our results predict that the collapse of the standard deviation of the transcriptional noise as a function of gene sub-networks connectivity should occur for 1000 genes, the approximate size of the maximal interconnected percolating network cluster, which corresponds to the minimal genome size.

Online publication date: Tue, 24-Mar-2009

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