Identifying enterotype in human microbiome by decomposing probabilistic topics into components

Discovering the global structures of microbial community using large-scale metagenomes is a significant challenge in the era of post-genomics. Data-driven methods such as dimension reduction have shown to be useful when they applied on a metagenomics profile matrix which summarize the abundance of functional or taxonomic categorizations in metagenomic samples. Analogously, model-driven method such as probability topic model (PTM) has been used …