Inheritance of Loss: Computational Systems Biology for Cancer
Mathematical Systems Biology of Cancer
May 03,2006 04:00 PM to 05:00 PM
Speakers:
Mishra, Bud
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Abstract: |
Rapid and accurate solutions to many biomedical problems are beginning to rely on
systems and computational approaches. Few notable examples are: genomic assays for cancer,
genetic analysis of cancer genomes for marker detection, models of cancer progression, etc. While
these examples focus on cancer and currently build upon microarray technology, the algorithmic
approaches must aim to be scalable, agnostic to the technologies, and applicable to a wide variety
of problems. This talk surveys many promises, challenges and obstacles faced by the emerging
field of systems biology as they tackle these biomedical problems. In particular, we will emphasize
three highly-intertwined aspects of this problem:
* Measuring: Array and Single-Molecule Measurements for More Informative Data
* Mining: Combining Gene Expression and Genomic Patient Data for Discovery
* Modeling: Systems Biology algorithms for reasoning and redescription of time-course data.
Various novel applications of mathematical ideas appear: 0-1-Laws in experiment design, Hidden
Kripke Models and temporal logic redescriptins, Nonlinear Kalman-Bucy filtering, Efficient
Maximum A Posteriori Estimators, etc. |
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