Title | ||
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An Effective Interwoven Loop Design Application for Two-Channel Microarray Experiments |
Abstract | ||
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Microarray technology is widely applied to address complex scientific questions. However, there remain fundamental issues of how to design experiments to ensure that the resulting data enables robust statistical analysis. Interwoven loop design has several advantages over other designs. However it suffers in the complexity of design. We have implemented an online web application which allows users to find optimal loop designs for two-color microarray experiments. Given a number of conditions (such as treatments or time points) and replicates, the application will find the best possible design of the experiment and output experimental parameters. It is freely available from http://mcbc.usm.edu/iloop. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/BIBE.2007.4375563 | Boston, MA |
Keywords | Field | DocType |
DNA,biology computing,genetics,molecular biophysics,cDNA probes,gene interactions,interwoven loop design application,online Web application,two-channel microarray experiments,two-color microarray experiments,Experiment Design,Interwoven Loop Design,Microarray | Two-channel Microarray,Computer science,Artificial intelligence,Molecular biophysics,Gene chip analysis,Bioinformatics,Web application,Machine learning,Design of experiments,Statistical analysis | Conference |
ISBN | Citations | PageRank |
978-1-4244-1509-0 | 0 | 0.34 |
References | Authors | |
5 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mehdi Pirooznia | 1 | 83 | 5.72 |
Arun Rawat | 2 | 34 | 1.22 |
Jack Y. Yang | 3 | 902 | 175.51 |
Mary Qu Yang | 4 | 933 | 191.35 |
Ping Gong | 5 | 0 | 1.01 |
Edward J. Perkins | 6 | 225 | 20.46 |
Youping Deng | 7 | 631 | 38.43 |