Recent high throughput experimental methods have been used to collect large biomedical
omics datasets. Clustering of single omic datasets has proven invaluable for biological and …

Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …

Despite the ecological and societal importance of large rivers, fish sampling remains costly
and limited to specific habitats (eg, river banks). Using an eDNA metabarcoding approach …

Background & Aims We have limited knowledge about the association between the
composition of the intestinal microbiota and clinical features of irritable bowel syndrome …

Summary Competitor, stress‐tolerator, ruderal (CSR) theory is a prominent plant functional
strategy scheme previously applied to local floras. Globally, the wide geographic and …

Through the developments of Omics technologies and dissemination of large-scale
datasets, such as those from The Cancer Genome Atlas, Alzheimer's Disease Neuroimaging …

Recent advances in high‐throughput methods of molecular analyses have led to an
explosion of studies generating large‐scale ecological data sets. In particular, noticeable …

State-of-the-art next-generation sequencing, transcriptomics, proteomics and other high-
throughput 'omics' technologies enable the efficient generation of large experimental data …

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical
Ecology and the implementation of this discipline in the R language. After short theoretical …