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 …
Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy
Heart failure encompasses a heterogeneous set of clinical features that converge on
impaired cardiac contractile function, and presents a growing public health concern …
impaired cardiac contractile function, and presents a growing public health concern …
COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets
COVID-19, which is caused by SARS-CoV-2, can result in acute respiratory distress
syndrome and multiple organ failure,,–, but little is known about its pathophysiology. Here …
syndrome and multiple organ failure,,–, but little is known about its pathophysiology. Here …
A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions
Background Differential abundance analysis (DAA) is one central statistical task in
microbiome data analysis. A robust and powerful DAA tool can help identify highly confident …
microbiome data analysis. A robust and powerful DAA tool can help identify highly confident …
LinDA: linear models for differential abundance analysis of microbiome compositional data
Differential abundance analysis is at the core of statistical analysis of microbiome data. The
compositional nature of microbiome sequencing data makes false positive control …
compositional nature of microbiome sequencing data makes false positive control …
[HTML][HTML] A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions
Metagenomics, Metabolomics, and Metaproteomics have significantly advanced our
knowledge of microbial communities by providing culture-independent insights into their …
knowledge of microbial communities by providing culture-independent insights into their …
Pitfalls in the statistical analysis of microbiome amplicon sequencing data
HC Boshuizen, DE Te Beest - Molecular Ecology Resources, 2023 - Wiley Online Library
Microbiome data are characterized by several aspects that make them challenging to
analyse statistically: they are compositional, high dimensional and rich in zeros. A large …
analyse statistically: they are compositional, high dimensional and rich in zeros. A large …
mbImpute: an accurate and robust imputation method for microbiome data
A critical challenge in microbiome data analysis is the existence of many non-biological
zeros, which distort taxon abundance distributions, complicate data analysis, and jeopardize …
zeros, which distort taxon abundance distributions, complicate data analysis, and jeopardize …
Uncovering the relationship between gut microbial dysbiosis, metabolomics, and dietary intake in type 2 diabetes mellitus and in healthy volunteers: a multi-omics …
Abstract Type 2 Diabetes Mellitus has reached epidemic levels globally, and several studies
have confirmed a link between gut microbial dysbiosis and aberrant glucose homeostasis …
have confirmed a link between gut microbial dysbiosis and aberrant glucose homeostasis …
An optimal normalization method for high sparse compositional microbiome data
In many omics data, including microbiome sequencing data, we are only able to measure
relative information. Various computational or statistical methods have been proposed to …
relative information. Various computational or statistical methods have been proposed to …