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Note that in the selection of the TFs, we only selected those that were estimated to regulate the genes including the expression signature, to consider the enrichment of the regulated genes in the signature.
HIF has been estimated to regulate more than 5% of total human genes.
Interactions between miRNAs and their miRNA recognition elements occur via partial complementarity, rendering tremendous redundancy in targeting such that miRNAs are predicted to regulate 60% of the genome, with each miRNA estimated to regulate more than 200 genes.
miRNAs are estimated to regulate at least one third of all human transcripts [14].
microRNA are estimated to regulate the expression of greater than 60% of all protein-coding genes.
MicroRNAs are estimated to regulate the expression of >60% of human protein-coding genes.
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While over half the genes are estimated to be regulated at the transcriptional level, few regulatory motifs and transcription regulators have been found.
Indeed, hundreds of genes have been estimated to be regulated, directly or indirectly, by this protein (Chahrour et al, 2008; Cohen et al, 2008).
These percentages of target genes predicted to be regulated by the miRNA identified in this study are within the range of the approximately 10 to 60% of protein-coding genes that are estimated to be regulated by miRNA [ 63- 65].
To date, more than 3% of the genes in the human genome have been found to encode for miRNAs, and over 30% of genes in the human genome are estimated to be regulated by miRNAs [ 9].
The utilization of the node density estimates to adaptively regulate probabilistic flooding in network structures relevant to nanonetworks is then considered.
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