Pretreating and normalizing metabolomics data for statistical analysis

J Sun, Y Xia - Genes & Diseases, 2024 - Elsevier
Metabolomics as a research field and a set of techniques is to study the entire small
molecules in biological samples. Metabolomics is emerging as a powerful tool generally for …

Statistical normalization methods in microbiome data with application to microbiome cancer research

Y Xia - Gut Microbes, 2023 - Taylor & Francis
Mounting evidence has shown that gut microbiome is associated with various cancers,
including gastrointestinal (GI) tract and non-GI tract cancers. But microbiome data have …

Does the gut microbial metabolome really matter? The connection between GUT metabolome and neurological disorders

MA Marć, R Jastrząb, J Mytych - Nutrients, 2022 - mdpi.com
Herein we gathered updated knowledge regarding the alterations of gut microbiota
(dysbiosis) and its correlation with human neurodegenerative and brain-related diseases …

Bioinformatic and Statistical Analysis of Microbiome Data

Y Kim - Statistical Genomics, 2023 - Springer
Since advances in next-generation sequencing (NGS) technique enabled to investigate
uncultured microbiota and their genomes in unbiased manner, many microbiome …

Feasibility of acupuncture and exploration of metabolomic alterations for psychoneurological symptoms among breast cancer survivors

H Li, JM Schlaeger, CL Patil… - Biological Research …, 2023 - journals.sagepub.com
Objective Approximately 24–68% of breast cancer survivors report co-occurring
psychoneurological symptoms of pain, fatigue, sleep disturbance, depression, and anxiety …

Compositional analysis of microbiome data

Y Xia, J Sun - Bioinformatic and Statistical Analysis of Microbiome …, 2023 - Springer
This chapter focuses on compositional data analysis (CoDA). First, it describes overall
compositional data, the rationale that microbiome data can be treated as compositional …

Beta Diversity Metrics and Ordination

Y Xia, J Sun - Bioinformatic and Statistical Analysis of Microbiome …, 2023 - Springer
Chapter 9 investigated within-sample (alpha-) diversity. This chapter focuses on between-
sample (beta-) diversity metrics and their ordination. Beta diversity measures the difference …

Multivariate Longitudinal Microbiome Models

Y Xia, J Sun - Bioinformatic and Statistical Analysis of Microbiome …, 2023 - Springer
Chapter 15 mainly introduced the glmmTMB, GLMMadaptive, and FZINBMM packages.
However, all these three packages can only analyze univariate longitudinal microbiome …

Moving Beyond OTU Methods

Y Xia, J Sun - Bioinformatic and Statistical Analysis of Microbiome …, 2023 - Springer
This chapter investigates the movement of moving beyond OTU methods and discusses the
necessity and possibility of this movement. First, it describes clustering-based OTU methods …

OTU Methods in Numerical Taxonomy

Y Xia, J Sun - Bioinformatic and Statistical Analysis of Microbiome …, 2023 - Springer
This chapter investigates the original OTU methods in numerical taxonomy. First, it briefly
introduces the history of numerical taxonomy. Second, it introduces the principles and aims …