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Computational Systems Biology
BME 211, Spring 2008


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Schedule

Date Lecturer [Slides/Notes]

Lecture Topic(s)

Reading Hand In

Apr 1
(Tue)

Stuart
Slides [3.4M pdf]
Logistics. Overview of the course. High-throughput biology. Data repositories for systems biology. DNA Microarrays. Klipp, Chaps 1-4, 13.
Schena 1995 [pubmed html ].
 
Apr 3
(Thu)
Stuart [328K pdf] Genome-wide Expression Analysis. Stats. Normalization.
Klipp, Chap 9.1.
Wu et al.2004 [pdf]
 
Apr 8
(Tue)
Stuart [1.4M pdf] Genome-wide expression analysis. Differential marker identification. Null models. Statistical Analysis of Microarrays. Multiple testing corrections. Permutation testing. Bootstrap analysis. False-discovery rates. Klipp 9.2,9.5
Golub et al. 1999 [462K pdf]
Tusher et al. 2001 [428K pdf]
 

Apr 10
(Thu)

Stuart [1.4M pdf] Genome-wide expression analysis. Gene set enrichment analysis. Supervised Learning. Separating hyperplanes. K-nearest neighbors. Parzen windows. Kernel smoothing. Gene function prediction. Semisupervised Learning. Missing data imputation. Brown et al. 1999 [103K pdf]
Troyanskaya et al. 2001 [308 pdf]
Subramanian 2005 [600K pdf]
 
Apr 15
(Tue)
Stuart [100K pdf]
Vaske R tutorial [1.4M zip]
Genome-wide expression analysis. Feature selection. Klipp 9.3-9.4
Saeys et al 2007 [178K pdf]
 
Apr 17
(Thu)
Stuart [385K pdf] Genome-wide expression analysis. Measures of similarity. Dimension reduction. Clustering. Agglomerative and devisive. Cluster Evaluation.

Klipp 11.3
Eisen et al. 1998 [813K pdf]

GenFun Team Members Due
Apr 22
(Tue)
David Ng [821K pdf],
Melissa Cline,
Thomas Juettemann
(Stuart out of town)
ClueGene search engine demo (Ng) . Visualization of large-scale data using Cytoscape (Cline) and YETI (Juettemann). Ng et al. 2007 [359 pdf] HW1 Due.
Apr 24
(Thu)
Stuart [478K pdf] Genome-wide expression analysis. Bi-clustering. Cheng and Church 2000 [362K pdf]
 
Apr 29
(Tue)
Stuart [1.4M pdf] Search Engines I. Ihmels et al 2002 [311K pdf]  
May 1
(Thu)
MIDTERM Genome-wide expression analysis exam.    
May 6
(Tue)
Stuart [1.1M pdf]
Notes by David Ng, 2005 [1.3M pdf]
Whiteboard Pics: [1][2][3]
Network Models. Boolean/Linear/Relevance Klipp 9.6.
Friedman, 2004 [706K pdf]
HW2 Due.
May 8
(Thu)
Stuart [64K pdf]
Whiteboard Pics: [1][2][3][4][5]
Network Learning. Bayesian Networks. Conditional Independence. Model parameters. Explaining away. Kevin Murphy 2007 [html] [246K pdf]  
May 13
(Tue)
Stuart [37K pdf]
Notes [1.3M pdf]
Whiteboard Pics: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12]
Network Learning. Inference. Exact inference. Variable elimination. Learning from perturbations. Heckerman 1995 [484K pdf].
Mini-review references due.
May 15
(Thu)
Stuart [238K pdf]
Notes [911K pdf]
Network Learning. Inference. Message passing. Dynamic networks. Milo et al. 2002 [170K pdf]
 
May 20
(Tue)
Stuart [823K pdf] Pattern Discovery Within Networks: Significant patterns in networks. Topology of nets; hubs. Dense subnetwork clustering. Network Motifs. Null network models.

Barabasi and Oltavi 2004 [384K pdf]
Lee et al. 2003 [361K pdf]

HW3 Due.
May 22
(Thu)
Stuart [1.3M pdf]

Pattern Discovery Across Networks. Integration of Networks. Network Alignment. Recurrent subnetworks.

Sharan and Ideker 2006 [544K pdf]
Flannick et al. 2006 [1.2M pdf]
 
May 27
(Tue)
Stuart [2.3M pdf] Additional Network Topics (if time allows): Meta-network analysis. Hwang et al. 2005 [777K pdf]  
May 29
(Thu)
FINAL Gene networks exam.    
Jun 3
(Tue)
Students Mini-reviews. Great papers in Systems Biology. List of topics [html] Mini-review Presentation Materials Due
Jun 5
(Thu)
Students Mini-reviews. Great papers in Systems Biology. List of topics [html]  
Jun 10
(Tue)
12-3
GenFun Gene Function Prediction Competition & Pizza Party   GenFun Programs and Write-ups Due