|
Activity Number:
|
418
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistical Computing
|
| Abstract - #307314 |
|
Title:
|
ProMAT: Protein Microarray Analysis Tool
|
|
Author(s):
|
Amanda M. White*+ and Don S. Daly and Susan S. Varnum and Kevin K. Anderson and Nikki Bollinger and Rachel M. Gonzalez and Richard C. Zangar
|
|
Companies:
|
Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory
|
|
Address:
|
P.O. Box 999, Richland, WA, 99354,
|
|
Keywords:
|
ELISA microarray ; curve estimation ; prediction
|
|
Abstract:
|
Enzyme-linked immunosorbent assays (ELISA) are used to estimate the concentration of a protein in a sample. Although traditionally used in titer plates, implementing ELISAs in a microarray format allows for the simultaneous estimation of multiple protein concentrations for small samples. Typically researchers use tools such as spreadsheets to estimate standard curves and protein concentrations, which is time-consuming since these tools are not suited for this. The increase in data generated by using microarrays requires more efficient methods of generating standard curves and estimating protein concentrations, thus we have created ProMAT, an open-source ELISA microarray analysis tool based in R and Java. ProMAT also estimates prediction errors on the concentration predictions. Methods used to fit standard curves and generate concentration prediction errors will be discussed.
|
