Sparse and Compositionally Robust Inference of Microbial Ecological Networks

@article{Kurtz2015SparseAC,
  title={Sparse and Compositionally Robust Inference of Microbial Ecological Networks},
  author={Zachary D. Kurtz and C. M{\"u}ller and Emily R. Miraldi and D. Littman and M. Blaser and R. Bonneau},
  journal={PLoS Computational Biology},
  year={2015},
  volume={11}
}
  • Zachary D. Kurtz, C. Müller, +3 authors R. Bonneau
  • Published 2015
  • Biology, Computer Science, Medicine, Mathematics
  • PLoS Computational Biology
  • 16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques provide snapshots of microbial communities, revealing phylogeny and the abundances of microbial populations across diverse ecosystems. While changes in microbial community structure are demonstrably associated with certain environmental conditions (from metabolic and immunological health in mammals to ecological stability in soils and oceans), identification of underlying mechanisms requires new statistical tools, as… CONTINUE READING
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