Gene Correlation Networks
Gene expression
Gene expression detection
DNA microarray
Normalization
RNA-seq
Gene co-expression network
Pearson correlation
Weighted gene co-expression network
Weighted vs. unweighted
Adjacency matrix
Module structure is highly preserved across data sets
Conclusion

Gene co-expression network
Definition: a gene co-expression network is a graph, where each node corresponds to a gene and a pair of nodes is connected with an undirected edge if their pair-wise expression similarity is above a particular threshold“standard” methods for network construction
Computation of co-expression: Pearson correlation
Edge threshold: pre-defined cutoff value
Statistical significance test: Student’s t-test