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sabarsi: 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described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished).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.
Getting started
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Package details |
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| Author | Li Jun [cre], Wang Chuanqi [aut] |
| Maintainer | Li Jun <jun.li@nd.edu> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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