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Wavelet-Based Microbiome Correlations of Host Traits

Authors:

Adeethyia Shankar,

Stephanie Chang,

Yongzhong Zhao,

Tong LiuAuthors Info & Claims

ICCBB '22: Proceedings of the 2022 6th International Conference on Computational Biology and Bioinformatics

Pages 13 - 19

https://doi.org/10.1145/3589437.3589440

Published: 20 July 2023 Publication History

Abstract

The gut microbiome is composed of a plethora of microorganisms, and these microbes contribute to overall human health. It has been shown that dysbiosis of the microbiome is associated with certain diseases, including colorectal cancer and diabetes, yet the role of the microbiome is still little-known. Here, we aim to develop a novel wavelet-based framework to dissect the microbiome correlations of host traits. Due to the clinical nature of the biological dataset, we utilize the discrete wavelet transform (DWT)—enabling us to impute sparse matrices and decompose the data into different frequency components. We further carry out regressions of host traits with the microbiome relative abundances followed by computing correlations between the regression-predicted trait values. Moreover, we visualize these microbiome correlations of host traits with heat maps and build microbiome correlations of host traits network. As a result, our results revealed that microbiome correlations of host traits are prevalent. Our wavelet-based microbiome correlations of host traits analytic framework aims to lay the foundation for further causality analysis of the complex interplays between the microbiome and host traits.

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Cited By

Mayorga AWang LWang XSun W(2023)Prediction of Credit Defaults based on Weight Dimensionality Reduction Neural Network and M-Band Discrete Wavelet Transform Full Research Paper Acronym: CSCI-RTBD2023 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI62032.2023.00023(106-112)Online publication date: 13-Dec-2023
https://doi.org/10.1109/CSCI62032.2023.00023

Index Terms

Wavelet-Based Microbiome Correlations of Host Traits
1. Applied computing
  1. Life and medical sciences
2. Mathematics of computing
  1. Probability and statistics
    1. Statistical paradigms

Index terms have been assigned to the content through auto-classification.

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cover image ACM Other conferences

ICCBB '22: Proceedings of the 2022 6th International Conference on Computational Biology and Bioinformatics

December 2022

87 pages

ISBN:9781450397636

DOI:10.1145/3589437

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 20 July 2023

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ICCBB 2022

ICCBB 2022: 2022 6th International Conference on Computational Biology and Bioinformatics

December 26 - 28, 2022

Bali Island, Indonesia

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Cited By

Mayorga AWang LWang XSun W(2023)Prediction of Credit Defaults based on Weight Dimensionality Reduction Neural Network and M-Band Discrete Wavelet Transform Full Research Paper Acronym: CSCI-RTBD2023 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI62032.2023.00023(106-112)Online publication date: 13-Dec-2023
https://doi.org/10.1109/CSCI62032.2023.00023

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