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Mendeley readers
Chapter title |
Analyzing Peptide Microarray Data with the R pepStat Package.
|
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Chapter number | 10 |
Book title |
Peptide Microarrays
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Published in |
Methods in molecular biology, January 2016
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DOI | 10.1007/978-1-4939-3037-1_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3036-4, 978-1-4939-3037-1
|
Authors |
Gregory Imholte, Renan Sauteraud, Raphael Gottardo |
Editors |
Marina Cretich, Marcella Chiari |
Abstract |
In this chapter we demonstrate the use of R Bioconductor packages pepStat and Pviz on a set of paired peptide microarrays generated from vaccine trial data. Data import, background correction, normalization, and summarization techniques are presented. We introduce a sliding mean method for amplifying signal and reducing noise in the data, and show the value of gathering paired samples from subjects. Useful visual summaries are presented, and we introduce a simple method for setting a decision rule for subject/peptide responses that can be used with a set of control peptides or placebo subjects. |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 33% |
Unspecified | 1 | 17% |
Researcher | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 17% |
Mathematics | 1 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Immunology and Microbiology | 1 | 17% |
Unknown | 2 | 33% |