1. Bioinformatics lectures at Rice University Li Zhang Lecture 9: Networks and integrative genomic analysis http://odin.mdacc.tmc.edu/~llzhang/RiceCourse

3. Protein-protein interaction networks Protein-protein interaction network in yeast. Wagner 2001.

4. Power law distribution

5. Gene duplication and divergence

7. P-value of association

10. The Method

11. Gene set enrichment analysis Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states (e.g. phenotypes).

16. MSigDB Collections C1: positional gene sets C2: curated gene sets C3: motif gene sets C4: computational gene sets C5: GO gene sets C6: oncogenic signatures C7: immunologic signatures The 10295 gene sets in the Molecular Signatures Database (MSigDB) are divided into 7 major collections, and several sub collections.

17. Canonical pathways