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Bioinformatics lectures at Rice University

Bioinformatics lectures at Rice University. Li Zhang Lecture 9: Networks and integrative genomic analysis http://odin.mdacc.tmc.edu/~llzhang/RiceCourse. Protein-protein interaction networks. Protein-protein interaction network in yeast. Wagner 2001. . Power law distribution .

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Bioinformatics lectures at Rice University

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

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

  3. Power law distribution

  4. Gene duplication and divergence

  5. P-value of association

  6. The Method

  7. 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).

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

  9. Canonical pathways

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