Introduction | Load multiWGCNA library | Load astrocyte Ribotag RNA-seq data | Network construction | Compare modules by overlap | Identify a module of interest | Draw the multiWGCNA network | Observe differential co-expression of top module genes | Follow up with a preservation analysis | Determining if preservation value is significant | Conclusion

Introduction | Install the multiWGCNA R package | Load microarray data from human post-mortem brains | Perform network construction, module eigengene calculation, module-trait correlation | Compare modules by overlap across conditions | Perform differential module expression analysis | Perform the module preservation analysis | Summarize interesting results from the analyses | Print the session info