The final network encompasses 295 nodes (genes) and 500 edges (co-expression interactions), corresponding to 232 contigs co-expressed with 62 putative flowering or floral core genes.
An investigation of the performance of various gene set approaches in detecting pathway effects in the presence of gene-expression interactions is warranted.
In addition, genetic and epigenetic regulations have a primordial role in the microRNAs and gene expression interactions [ 1– 3].
For co-expression interactions, the first two selected measures are always the Jaccard and clustering coefficient STMs.
For instance, the 80 654 perturbation and 100 000 co-expression interactions have only 390 interactions in common, which is just slightly more than one would expect by chance (375).
In addition, thousands of gene co-expression interactions can be mined from these datasets and transformed into gene interaction networks (see examples below).
The modularity of less continuous genetic interaction network does not correspond to modularity of the dense network comprised by gene co-expression interactions.
Beyond identification of genes whose expression is modified by stress, analysis of stress-by-Hsp70-by-gene expression interactions is required.
This network describes co-expression interactions between gene pairs, based on the set D of gene expression datasets used to calculate the scores.
