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GeneGroupAnalysis 1.0.0- BetaCS

Date post: 18-Mar-2016
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GeneGroupAnalysis 1.0.0- BetaCS. Alejandro Quiroz- Zárate John Quackenbush lab http:// compbio.dfci.harvard.edu / compbio. The “usual” analysis. The Key Idea. This methodology was developed with Dr. John Quackenbush. GeneGroupAnalysis 1.2.0. Go to. Example (real data set) - PowerPoint PPT Presentation
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GeneGroupAnalysis 1.0.0-BetaCS Alejandro Quiroz-Zárate John Quackenbush lab http://compbio.dfci.harvard.edu/compbio
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Page 1: GeneGroupAnalysis 1.0.0- BetaCS

GeneGroupAnalysis1.0.0-BetaCS

Alejandro Quiroz-ZárateJohn Quackenbush lab

http://compbio.dfci.harvard.edu/compbio

Page 2: GeneGroupAnalysis 1.0.0- BetaCS

The “usual” analysis

Page 3: GeneGroupAnalysis 1.0.0- BetaCS

The Key Idea

• This methodology was developed with Dr. John Quackenbush

Page 4: GeneGroupAnalysis 1.0.0- BetaCS
Page 5: GeneGroupAnalysis 1.0.0- BetaCS

GeneGroupAnalysis 1.2.0

Page 6: GeneGroupAnalysis 1.0.0- BetaCS

Go to

• Example (real data set)– Gene expression from tumor samples• 209 ER+ and 135 E-• GEO reference accession numbers:GSE2034,GSE5327

– Affymetrix U133A– Conceive the data set with a

Cross-Sectional Design– Question of interest:• What are the biological mechanisms that drive the

differences in Estrogen Receptor status?

Page 7: GeneGroupAnalysis 1.0.0- BetaCS

Estrogen Targets Tissues

Page 8: GeneGroupAnalysis 1.0.0- BetaCS

Estrogen and Cancer

Page 9: GeneGroupAnalysis 1.0.0- BetaCS

Estrogen Receptors Trigger Gene Activation

Page 10: GeneGroupAnalysis 1.0.0- BetaCS

Estrogen Receptor-Negative Breast Cancer

Page 11: GeneGroupAnalysis 1.0.0- BetaCS

Analysis


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