nondetects
'nondetects' is an R package to address the analytical challenges posed by non-detects in quantitative real-time PCR (qPCR) data, a common issue where specific reactions fail to generate a detectable signal. This tool highlights the often overlooked problem of qPCR non-detects, demonstrating through analysis that conventional methods of handling such data lead to biased results. Furthermore, nondetects challenge the assumption that these non-detects represent data missing completely at random, suggesting instead that they likely signify data missing, not at random.
To improve the accuracy of gene expression analysis and avoid bias, a model for the missing data mechanism can be introduced to handle nondetects. This approach allows non-detects to be directly modeled as missing data, significantly reducing absolute and differential gene expression estimation bias. As a result, it enhances the reliability of qPCR data analysis.
Topic
PCR experiment;Gene expression
Detail
Operation: Simulated gene expression data generation;Standardisation and normalisation;Imputation
Software interface: Command-line user interface,Library
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 2.32.0
Credit: National Institutes of Health, Edelman-Gardner Foundation Award.
Input: Gene expression data [Matrix format]
Output: Report [Matrix format]
Contact: Valeriia Sherina valery.sherina@gmail.com
Collection: -
Maturity: Stable
Publications
- On non-detects in qPCR data.
- McCall MN, et al. On non-detects in qPCR data. On non-detects in qPCR data. 2014; 30:2310-6. doi: 10.1093/bioinformatics/btu239
- https://doi.org/10.1093/bioinformatics/btu239
- PMID: 24764462
- PMC: PMC4133581
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/nondetects_2.32.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/nondetects/man/nondetects.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/nondetects.html
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