55: Raman Spectra using wavelet-based ANOVA: Uncovering Dietary-Gene Spectral Components in Mice

Music City Center 

We explored the effect of genotype and dose on the reaction of mice when exposed to different compounds present in various foods. To do so, Raman spectra of mice were obtained at baseline (prior to exposure) and at least two occasions post-exposure. As a first step, we fitted a functional ANOVA (FANOVA) model to the spectral responses. Challenges with this type of data include the presence of long-range dependence and high-dimensionality. To address this, we transformed the discretized FANOVA model to the wavelet domain, decorrelating and regularizing the inputs while preserving the model structure. Soft-thresholding based on median absolute deviation is used for noise reduction, and inverse wavelet transform reconstructs refined estimates in the original domain. This wavelet-based ANOVA (WANOVA) enhances the interpretability of Raman spectral data, offering a novel framework for detecting food compound interactions with genetic variations, with potential implications for personalized nutrition and biomedical research.

Raman Spectroscopy

Wavelet Transform

WANOVA

FANOVA 

Section on Statistics in Genomics and Genetics