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| * __ONline Reference Pages__ * [[http://www.statsoft.com/textbook/|Online statistical reference by Statsoft]] | * [[http://www.statsoft.com/textbook/|Online statistical reference by Statsoft]] | 
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| == Other Useful Links == | === Other Useful Readings === | 
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| == Interesting Research Applications of Pathway Analysis == * A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases.<<BR>> Hirsch HA, Iliopoulos D, Joshi A, Zhang Y, Jaeger SA, Bulyk M, Tsichlis PN, Shirley Liu X, Struhl K.<<BR>> Cancer Cell. 2010 Apr 13;17(4):348-61.<<BR>> http://www.ncbi.nlm.nih.gov/pubmed/20385360 * Functional impact of global rare copy number variation in autism spectrum disorders.<<BR>> Pinto D et al.<<BR>> Nature. 2010 Jul 15;466(7304):368-72. Epub 2010 Jun 9.<<BR>> http://www.ncbi.nlm.nih.gov/pubmed/20531469 | 
Contents
Pathway Analysis Readings
Lectures
- Introduction to R Programming 
- Affymetrix Microarray Analysis using R Programming 
- Gene-set Enrichment Analysis 
Readings
- R Programming 
- Statistics 
- Primers on Useful Data Analysis Techniques - Principal Component Analysis - What is principal component analysis? 
 Ringnér M.
 Nat Biotechnol. 2008 Mar;26(3):303-4.
 http://www.ncbi.nlm.nih.gov/pubmed/18327243
 
- Clustering - How does gene expression clustering work? 
 D'haeseleer P.
 Nat Biotechnol. 2005 Dec;23(12):1499-501.
 http://www.ncbi.nlm.nih.gov/pubmed/16333293
 
- Multiple Testing Correction - How does multiple testing correction work? 
 Noble WS.
 Nat Biotechnol. 2009 Dec;27(12):1135-7.
 http://www.ncbi.nlm.nih.gov/pubmed/20010596
 
 
- Microarray Analysis - General Reviews - Microarray data analysis: from disarray to consolidation and consensus. 
 Allison DB, Cui X, Page GP, Sabripour M.
 Nat Rev Genet. 2006 Jan;7(1):55-65. Review. Erratum in: Nat Rev Genet. 2006 May;7(5):406.
 http://www.ncbi.nlm.nih.gov/pubmed/16369572
- Computational analysis of microarray data. 
 Quackenbush J.
 Nat Rev Genet. 2001 Jun;2(6):418-27.
 http://www.ncbi.nlm.nih.gov/pubmed/11389458
 
 
- Gene-set Enrichment Analysis - Reviews on Methods and Tools - Gene-set approach for expression pattern analysis. 
 Nam D, Kim SY.
 Brief Bioinform. 2008 May;9(3):189-97.
 http://www.ncbi.nlm.nih.gov/pubmed/18202032
- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. 
 Huang da W, Sherman BT, Lempicki RA.
 Nucleic Acids Res. 2009 Jan;37(1):1-13.
 http://www.ncbi.nlm.nih.gov/pubmed/19033363
 
- GSEA - Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. 
 Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP.
 Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50.
 http://www.ncbi.nlm.nih.gov/pubmed/16199517
 
- Enrichment Visualization - Enrichment map: a network-based method for gene-set enrichment visualization and interpretation. 
 Merico D, Isserlin R, Stueker O, Emili A, Bader GD.
 PLoS One. 2010 Nov 15;5(11):e13984.
 http://www.ncbi.nlm.nih.gov/pubmed/21085593
 
 
- Network Analysis and Visualization - General Reviews - How to visually interpret biological data using networks. 
 Merico D, Gfeller D, Bader GD.
 Nat Biotechnol. 2009 Oct;27(10):921-4.
 http://www.ncbi.nlm.nih.gov/pubmed/19816451
- Pathway information for systems biology. 
 Cary MP, Bader GD, Sander C.
 FEBS Lett. 2005 Mar 21;579(8):1815-20.
 http://www.ncbi.nlm.nih.gov/pubmed/15763557
 
- Cytoscape - Integration of biological networks and gene expression data using Cytoscape. 
 Cline MS et al.
 Nat Protoc. 2007;2(10):2366-82.
 http://www.ncbi.nlm.nih.gov/pubmed/17947979
 
 
- Pathway Analysis and Visualization - Methods - A novel signaling pathway impact analysis. 
 Tarca AL, Draghici S, Khatri P, Hassan SS, Mittal P, Kim JS, Kim CJ, Kusanovic JP, Romero R.
 Bioinformatics. 2009 Jan 1;25(1):75-82.
 http://www.ncbi.nlm.nih.gov/pubmed/18990722
 
 
Other Useful Readings
Interesting Research Applications of Pathway Analysis
- A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases. 
 Hirsch HA, Iliopoulos D, Joshi A, Zhang Y, Jaeger SA, Bulyk M, Tsichlis PN, Shirley Liu X, Struhl K.
 Cancer Cell. 2010 Apr 13;17(4):348-61.
 http://www.ncbi.nlm.nih.gov/pubmed/20385360
- Functional impact of global rare copy number variation in autism spectrum disorders. 
 Pinto D et al.
 Nature. 2010 Jul 15;466(7304):368-72. Epub 2010 Jun 9.
 http://www.ncbi.nlm.nih.gov/pubmed/20531469
