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
February 29, 2016 – Joel Parker and Katie Hoadley
March 7, 2016 – Steve Marron
- Marron, J. S. & Alonso, A. M. (2014) Overview of object oriented data analysis, Biometrical Journal, 56, 732-753
- Benito, M., Parker, J., Du, Q., Wu, J., Xiang, D., Perou, C. M., & Marron, J. S. (2004) Adjustment of systematic microarray data biases. Bioinformatics, 20(1), 105-114
- Example Matlab Script File: VisualizeNextGen2011.txt
- Example Next Gen Data Set: counts.csv
Isn’t this also cross-listed with Biology 890.001?
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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
Is tumor genome sequencing currently utilized at MSKCC in determining the best course of treatment metastatic breast cancer?
Sadly, when I see this, this course is over. When is the next batch.