HMPTrees: Statistical Object Oriented Data Analysis of RDP-based Taxonomic
trees from Human Microbiome Data: Modeling, Visualization, and
In this package, we introduce Object Oriented Data
Analysis (OODA) methods to analyze Human Microbiome taxonomic
trees directly. We provide tools to model, compare, and
visualize populations of taxonomic tree objects. In particular,
using a unimodal probability measure in the set of trees, we
provide procedures to compute the MLE of the central tree and
the LRT statistics for comparing the distributions of two
metagenomic populations. Our procedures have been developed to
support parallel computations for comparing two groups.
||R (≥ 2.10.0), ape|
||Patricio S. La Rosa, Elena Deych, Berkley Shands, William D.
||Berkley Shands <bshands at dom.wustl.edu>|