| 1 | 9/6/16 | Class Overview | | pdf | |
| 9/8/16 | Background in graph theory; probability theory | Molecular networks | pdf ppt | Life and its molecules |
| 2 | 9/13/16 | Graph structure learning | Regulatory network inference | pdf ppt | Markowetz & Spang |
| 9/15/16 | Bayesian networks and its variants | | lecture 3b (pdf ppt) lecture 4 (pdf ppt) | (1) Friedman et al (2) Segal et al |
| 3 | 9/20/16 | Module networks | Regulatory network inference | lecture 4 (pdf ppt) | Segal et al |
| 9/22/16 | Dependency networks | Regulatory network inference | lecture 5 (pdf ppt) | Huynh-Thu et al. |
| 4 | 9/27/16 | Constrained structure learning | Integrative network inference | lecture 6 (pdf ppt) | Novershtern et al. |
| 9/29/16 | Class rescheduled to Oct 3rd | | | |
| 10/3/16 | PGMs with priors | Incorporating prior knowledge to infer networks | lecture 7 (pdf ppt) | Werhli et al. |
| 5 | 10/4/16 | PGMs with priors | Incorporating prior knowledge to infer networks | | |
| 10/6/16 | PGMs with priors: regularized regression | Incorporating prior knowledge to infer networks | lecture 8 pdf ppt | Greenfield et al |
| 6 | 10/11/16 | PGMs with priors | Incorporating prior knowledge to infer networks | | |
| 10/13/16 | Dynamics in networks | Context-specific and dynamic network learning | lecture 9 pdf ppt | Active subgraphs |
| 7 | 10/18/16 | Dynamic Bayesian networks | Cancer signaling networks | lecture 10 pdf ppt | Hill et al. |
| 10/20/16 | Graphical Gaussian models; Multi-task learning | Tissue-specific networks | lecture 11 pdf ppt | Pierson et al. |
| 8 | 10/25/16 | Hidden Markov models and I/O HMMs introduction | Dynamic regulatory networks | pdf ppt | |
| 10/27/16 | IOHMM contd | Dynamic regulatory network | pdf ppt | Ernst et al |
| 9 | 11/1/16 | IOHMM wrap-up. Intro to Hierarchical agglomerative clustering | Protein network module detection | pdf ppt | Park et al. |
| 11/3/16 | HAC and Spectral clustering | | pdf ppt | Park et al. |
| 10 | 11/8/16 | Class rescheduled to Nov 14 | | | |
| 11/10/16 | Spectral clustering | Integrating different data types with graphs | pdf pptx | Wang et al |
| 11/14/16 | Seeding scoring and searching subnetworks | Jointly activated sub networks | pdf pptx | Ulitsky et al |
| 11 | 11/15/16 | Graph alignment: Pairwise pathway alignment | Comparative analysis of networks | pdf pptx | Kelley et al Sharan et al |
| 11/17/16 | Global network alignment with IsoRank | | pdf pptx | Singh et al |
| 12 | 11/22/16 | Global network alignment with FUSE | | pdf pptx | Gligorijević et al |
| 11/24/16 | Thanksgiving. No class | | | |
| 13 | 11/29/16 | Random walks and graph diffusion | Network-based gene prioritization | pdf pptx | Kohler et al |
| 12/1/16 | Heat diffusion kernel | Detecting significantly mutated pathways | pdf pptx | Vandin et al |
| 14 | 12/6/16 | Nested effect factor graph models | Identifying networks from genetic perturbations | pdf pptx | Vaske et al |
| 12/8/16 | Project presentations | | | |
| 15 | 12/13/16 | Project presentations | | | |
| 12/15/16 | Project presentations | | | |