Difference between revisions of "Gene Expression Signatures 101 - The PAM50 gene expression signature"

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* Papers to be examined:
 
* Papers to be examined:
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Perou, C. M. et al. (2000) Molecular portraits of human breast tumours. Nature, 406(6797), 747–752.  
 
Perou, C. M. et al. (2000) Molecular portraits of human breast tumours. Nature, 406(6797), 747–752.  
 +
 
Parker, J. S. et al. (2009) Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes. Journal of Clinical Oncology, 27(8), 1160–1167.
 
Parker, J. S. et al. (2009) Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes. Journal of Clinical Oncology, 27(8), 1160–1167.
 +
 
Gatza, M. L. et al. (2014) An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer. Nature Genetics, 46(10), 1051–1059
 
Gatza, M. L. et al. (2014) An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer. Nature Genetics, 46(10), 1051–1059
  
* Data and Code:
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* Slides: [https://drive.google.com/open?id=17iaOLsS8BiqPgkw3A7a1oMzZQ76BWJxt Slides 1/2] [https://drive.google.com/file/d/1gyPqgMNG56fNot1ry1P6zRNqTsRKZYQ6 Slides 2/2]
 
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* Key bioinformatics concept of this module: "What are gene expression signatures. How are they created and used."
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* Data and Code: [https://drive.google.com/open?id=1FhtQoHp8iiv7VoHkczf-kqSxwFy4Kxyx Day 1] [https://drive.google.com/drive/folders/1od_M-uuBM5uFomk6QqIqeNBufwESg7Oz Day 2] [https://drive.google.com/open?id=1Yod8aHyoGSqOkstepHbH2_OQ1XNuCIgD Day 3]
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* Key bioinformatics concept of this module: "What are gene expression signatures (GES). How GES are created and used."
  
 
* back to [[UNIL MSc course: "Case studies in bioinformatics"]]
 
* back to [[UNIL MSc course: "Case studies in bioinformatics"]]

Latest revision as of 11:01, 22 November 2018

  • Title: "Gene Expression Signatures 101 - The PAM50 gene expression signature"
  • Papers to be examined:

Perou, C. M. et al. (2000) Molecular portraits of human breast tumours. Nature, 406(6797), 747–752.

Parker, J. S. et al. (2009) Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes. Journal of Clinical Oncology, 27(8), 1160–1167.

Gatza, M. L. et al. (2014) An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer. Nature Genetics, 46(10), 1051–1059

  • Data and Code: Day 1 Day 2 Day 3
  • Key bioinformatics concept of this module: "What are gene expression signatures (GES). How GES are created and used."