A review of statistical methods for dietary pattern analysis
J Zhao, Z Li, Q Gao, H Zhao, S Chen, L Huang… - Nutrition journal, 2021 - Springer
Background Dietary pattern analysis is a promising approach to understanding the complex
relationship between diet and health. While many statistical methods exist, the literature …
relationship between diet and health. While many statistical methods exist, the literature …
Analysis of microbial compositions: a review of normalization and differential abundance analysis
H Lin, SD Peddada - NPJ biofilms and microbiomes, 2020 - nature.com
Increasingly, researchers are discovering associations between microbiome and a wide
range of human diseases such as obesity, inflammatory bowel diseases, HIV, and so on …
range of human diseases such as obesity, inflammatory bowel diseases, HIV, and so on …
Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy
C Krishna, RG DiNatale, F Kuo, RM Srivastava… - Cancer cell, 2021 - cell.com
Clear cell renal cell carcinomas (ccRCCs) are highly immune infiltrated, but the effect of
immune heterogeneity on clinical outcome in ccRCC has not been fully characterized. Here …
immune heterogeneity on clinical outcome in ccRCC has not been fully characterized. Here …
QIIME 2 enables comprehensive end‐to‐end analysis of diverse microbiome data and comparative studies with publicly available data
QIIME 2 is a completely re‐engineered microbiome bioinformatics platform based on the
popular QIIME platform, which it has replaced. QIIME 2 facilitates comprehensive and fully …
popular QIIME platform, which it has replaced. QIIME 2 facilitates comprehensive and fully …
Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
Abstract Single-cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells.
Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using …
Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using …
ggtern: Ternary diagrams using ggplot2
N Hamilton, M Ferry - 2018 - unsworks.unsw.edu.au
This paper presents the ggtern package for R, which has been developed for the rendering
of ternary diagrams. Based on the well-established ggplot2 package (Wickham 2009), the …
of ternary diagrams. Based on the well-established ggplot2 package (Wickham 2009), the …
Normalization and microbial differential abundance strategies depend upon data characteristics
S Weiss, ZZ Xu, S Peddada, A Amir, K Bittinger… - Microbiome, 2017 - Springer
Background Data from 16S ribosomal RNA (rRNA) amplicon sequencing present
challenges to ecological and statistical interpretation. In particular, library sizes often vary …
challenges to ecological and statistical interpretation. In particular, library sizes often vary …
Effects of accelerometer-based sedentary time and physical activity on DEXA-measured fat mass in 6059 children
AO Agbaje, W Perng, TP Tuomainen - Nature Communications, 2023 - nature.com
Globally, childhood obesity is on the rise and the effect of objectively measured movement
behaviour on body composition remains unclear. Longitudinal and causal mediation …
behaviour on body composition remains unclear. Longitudinal and causal mediation …
Deep learning and its application in geochemical mapping
Abstract Machine learning algorithms have been applied widely in the fields of natural
science, social science and engineering. It can be expected that machine learning …
science, social science and engineering. It can be expected that machine learning …
[图书][B] Modeling and analysis of compositional data
Modeling and Analysis of Compositional Data presents a practical and comprehensive
introduction to the analysis of compositional data along with numerous examples to illustrate …
introduction to the analysis of compositional data along with numerous examples to illustrate …