Statistics seminar:: Modeling and Analysis of Population Evolution Data

Event Details
  • Date/Time:
    • Thursday April 1, 2004
      11:00 am - 10:59 pm
  • Location: TBA
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Barbara Christopher
Industrial and Systems Engineering
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Summary Sentence: Statistics seminar:: Modeling and Analysis of Population Evolution Data

Full Summary: Statistics seminar:: Modeling and Analysis of Population Evolution Data

The last two decades have seen an explosion of novel ideas in the areas of biotechnology and information technology. The impact of these discoveries are being felt in diverse areas such as genetics, finance, e-commerce, biology, and internet traffic, to mention a few. The scientific experiments carried out using these modern technologies are yielding data that possess an "evolutionary branching process like structure". In this talk I will describe statistical models and methodologies to understand, analyze, and interpret the data emerging from these experiments. More specifically, I will focus on the data resulting from polymerase chain reaction experiments.

The modeling and the methodological part of this talk are motivated by the following three scientific questions:

(a) How does one "statistically quantify" the unknown amount of gene in a "sample" using PCR amplification methods?
(b) What are the factors affecting the amplification rate of a PCR experiment?
(c) How does one efficiently design experiments to study the mutations induced by PCR experiments?

Statistical quantification can lead to an accurate estimate of the HIV-1 viral load in HIV-1 infected patients. This not only helps with disease diagnosis but also in the disease prognosis. Answers to questions (b) and (c) will facilitate a better understanding of the dynamics of a PCR process.

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School of Industrial and Systems Engineering (ISYE)

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  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Oct 8, 2010 - 7:42am
  • Last Updated: Oct 7, 2016 - 9:52pm