sabarsi (0.1.0)

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Background Removal and Spectrum Identification for SERS Data.

Implements a new approach 'SABARSI' described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished). Sabarsi forms a pipeline for SERS (surface-enhanced Raman scattering) data analysis including background removal, signal detection, signal integration, and cross-experiment comparison. The background removal algorithm, the very first step of SERS data analysis, takes into account the change of background shape.

Maintainer: Li Jun
Author(s): Li Jun [cre], Wang Chuanqi [aut]

License: GPL-3

Uses: knitr, rmarkdown

Released 4 months ago.



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