Information content of high-order associations of the human gut microbiota network

no code implementations • 16 May 2020 • Weston D. Viles, Juliette C. Madan, Hongzhe Li, Jason C. Moore, Margaret R. Karagas, Anne G. Hoen

Here we quantify the complexity of the ecological relationships within the human infant gut microbiota ecosystem as a function of the information contained in the nonlinear associations of a sequence of increasingly-specified maximum entropy representations of the system.

Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails

no code implementations • 5 Mar 2020 • Joshua J. Levy, Rebecca M. Lebeaux, Anne G. Hoen, Brock C. Christensen, Louis J. Vaickus, Todd A. MacKenzie

Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race and age.

IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses

1 code implementation • 22 Sep 2019 • Zhigang Li, Lu Tian, A. James O'Malley, Margaret R. Karagas, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Quran Wu, Raad Z. Gharaibeh, Christian Jobin, Hongzhe Li

The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e. g., stool) can be considered as an approximation of RA in an entire ecosystem (e. g., gut).

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