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.


Reference manual

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1.0 by David Lauenstein, 2 years ago

Browse source code at

Authors: David Lauenstein

Documentation:   PDF Manual  

GPL (>= 2) license

Imports cluster, dbscan, factoextra, gplots, RColorBrewer, stats, graphics

Suggests knitr, rmarkdown

See at CRAN