DetectiV: A Tool for Analyzing Pathogen Detection Microarray Data
Author Information
Author(s): Michael Watson, Juliet Dukes, Abu-Median Abu-Bakr, Donald King, Paul Britton
Primary Institution: Institute for Animal Health
Hypothesis
Can DetectiV outperform existing software in analyzing pathogen-detection microarray datasets?
Conclusion
DetectiV produced the correct result in 55 out of 56 arrays, demonstrating its effectiveness in analyzing pathogen detection data.
Supporting Evidence
- DetectiV correctly identified pathogens in 55 out of 56 arrays tested.
- It integrates easily with existing R packages for microarray analysis.
- DetectiV is platform-independent and requires minimal setup.
Takeaway
DetectiV is a computer program that helps scientists find germs in samples by looking at lots of data quickly and accurately.
Methodology
DetectiV uses R for visualization, normalization, and significance testing of microarray data, applying methods like median normalization and t-tests.
Potential Biases
Potential for false positives due to cross-hybridization and non-specific binding of probes.
Limitations
The method assumes that most probes will not hybridize to anything, which may not always hold true.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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