Biopeak: Identification of Impulse-Like Gene Expression Changes in Short Genomic Series Data

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>
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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Biopeak_1.0.tgz, r-release (x86_64): Biopeak_1.0.tgz, r-oldrel: Biopeak_1.0.tgz


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