Multi-layered statistical and phylogenetic analyses

Explains how principal component analysis, generalized linear models, and sliding window approaches combine taxonomic matrices, phylogenetic trees, spectral distances, and genomic features to uncover relationships, culminating in metrics for similarity and phylogenetic inference.

Part of Chain