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 …
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 …
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 …
(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 …
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
Objective Approximately 24–68% of breast cancer survivors report co-occurring
psychoneurological symptoms of pain, fatigue, sleep disturbance, depression, and anxiety …
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 …
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 …
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 …
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 …
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 …
introduces the history of numerical taxonomy. Second, it introduces the principles and aims …