Cancer Genomics and Class Discovery

MATH 891-004

February 15 – March 21, Monday 5:00-7:00pm

The objectives of this course are to:

  • Gain an understanding of the genomic data types being collected on human tumors; Learn about the basics of DNA sequence analysis coming from NGS platforms
  • Learn about pattern discovery tools including hierarchical clustering and biclustering; Understand the challenges of integrating heterogeneous data types
  • See real world examples of complex data integration for class discovery that can be applied to any disease type for which multiple technologies are used.
  • By Chuck Perou, Katie Hoadley, Joel Parker (Genetics, Pathology and Laboratory Medicine, Lineberger CCC), Steve Marron and Andrew Nobel (Statistics and Operations Research), Tim Elston (Pharmacology, Bioinformatics and Computational Biology) and Greg Forest (Applied Math, BME, APS)

 

Reading list for 3/21: BD2K_reading

 

February 22, 2016 – Chuck Perou

Literature

Lecture

 

February 29, 2016 – Joel Parker and Katie Hoadley

Lecture

Literature

 

March 7, 2016 – Steve Marron

Lecture

Literature

6 thoughts on “Cancer Genomics and Class Discovery

  1. Akshay Kapse

    Its grateful to read such a descriptive article the real world examples of complex data integration for class discovery that can be applied to any disease type for which multiple technologies are used that was so work for all. Nice program Keep it up guys. Thank you

    Reply

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