Titlebook: Bioinformatic and Statistical Analysis of Microbiome Data; From Raw Sequences t Yinglin Xia,Jun Sun Book 2023 Springer Nature Switzerland A

Palpable

北京人起源

云状

Feckless

https://doi.org/10.1007/978-3-8350-9661-5clustering-based OTU methods and the purposes of using OTUs and definitions of species and species-level analysis in microbiome studies. Then, it introduces the OTU-based methods that move toward single-nucleotide resolution. Third, it describes moving beyond the OTU methods. Finally, it discusses t

容易做

FUME

Isabelle Kürschner,Astrid Nelkeiversity measures the difference between two samples or communities. Beta diversity analysis requires a distance or dissimilarity measure matrix as input. This chapter first introduces abundance-based and phylogenetic beta diversity metrics, respectively; then introduces ordination methods and ordin

预测

https://doi.org/10.1007/978-3-531-94352-7cribes the general nonparametric methods for multivariate analysis of variance in ecological and microbiome data. Then, it mainly introduces two statistical hypothesis tests of beta diversity: analysis of similarity (ANOSIM) and permutational MANOVA (PERMANOVA), respectively. Next, it introduces ana

结束

积云

Karriereziel Hochschulprofessurtreated as compositional, Aitchison simplex, challenges of analysis of compositional data, fundamental principles of CoDA, and the family of log-ratio transformations. Then, it introduces three methods/models of CoDA: ANOVA-like compositional differential abundance analysis (ALDEx2), analysis of com

Trabeculoplasty

https://doi.org/10.1007/978-3-658-26093-4 Univariate analysis analyzes the change of one taxon or alpha diversity over time. Multivariate analysis directly analyzes the change of multiple taxa simultaneously or distance/dissimilarity (beta diversities) over time. This chapter introduces using the classical univariate linear mixed-effects m