Enables the user to systematically identify and visualize impulse-like gene expression changes within short genomic series experiments. In order to detect such activation peaks, the gene expression is treated as a signal that propagates along an experimental axis (time, temperature or other series conditions). Peaks are selected by exhaustive identification of local maximums and subsequent filtering based on a range of controllable parameters. Moreover, the 'Biopeak' package provides a series of data exploration tools including: expression profile plots, correlation heat maps and clustering functionalities.
Version: | 1.0 |
Depends: | R (≥ 2.10) |
Imports: | cluster, dbscan, factoextra, gplots, RColorBrewer, stats, graphics |
Suggests: | knitr, rmarkdown |
Published: | 2019-08-21 |
Author: | David Lauenstein |
Maintainer: | David Lauenstein <david.lauenstein at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | Biopeak results |
Reference manual: | Biopeak.pdf |
Vignettes: |
Biopeak R Package Implementation |
Package source: | Biopeak_1.0.tar.gz |
Windows binaries: | r-devel: Biopeak_1.0.zip, r-release: Biopeak_1.0.zip, r-oldrel: Biopeak_1.0.zip |
macOS binaries: | r-release: Biopeak_1.0.tgz, r-oldrel: Biopeak_1.0.tgz |
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