American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



QUANTIFICATION OF PROTEIN LYSATE ARRAYS:
A NONPARAMETRIC APPROACH

by

Xuming He
UIUC


Abstract

The reverse-phase protein lysate arrays is an emerging technology that allows us to quantify the relative expression levels of a protein in many different cellular samples. At this moment, the applications of protein lysate arrays are still exploratory with a lack of reliable analysis tools for quantifying the information from protein arrays. In this talk, we show that a nonparametric protein expression curve often provides better fit to the data from the dilution series, whereas rigid parametric models such as the commonly used logistic curves are prone to bias. The problem of quantifying protein expression levels demands serious statistical work, and this talk serves as an introduction. In addition, I will discuss some interesting research problems in statistics that are motivated by our work in protein lysate array data.

Part of the talk is based on joint work
with colleagues at the M.D. Anderson Cancer Center.


Date: Thursday, July 12, 2007
Time: 4:00 - 5:00 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Judith Jansen Conference Room (Room 425)
New York, New York

RESERVATIONS ARE NOT REQUIRED

Refreshments will be served at 3:30 P.M. in the
Biostatistics Conference Room (Room 627).


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