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.
Package details |
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Author | David Lauenstein |
Maintainer | David Lauenstein <david.lauenstein@gmail.com> |
License | GPL (>= 2) |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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