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Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes
Shreya Arya
, Ashish B. George
,
James P. O’Dwyer
Plant Biology
Institute for Sustainability, Energy, and Environment
Carl R. Woese Institute for Genomic Biology
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Keyphrases
High-order
100%
Sparsity
100%
Community Function
100%
Microbiome
100%
Landscape Interactions
100%
Community Composition
75%
Microbial Community
50%
Human Health
25%
In Silico
25%
Compressed Sensing
25%
Sparse Representation
25%
Agriculture
25%
Real-world Application
25%
Microbial Community Structure
25%
Microbial Community Function
25%
Microbial Species
25%
Prediction Accuracy
25%
Improved Outcomes
25%
Composition Function
25%
Microbiome Engineering
25%
Agnostic
25%
Community Data
25%
Combinatorial Explosion
25%
Community Landscape
25%
Simplified Mechanistic Model
25%
Community Outcomes
25%
Experimental Dataset
25%
Brute-force Approach
25%
Computer Science
Sparsity
100%
Compressive Sensing
50%
Sparse Representation
50%
World Application
50%
Experimental Dataset
50%
Food Science
Public Health
100%
Immunology and Microbiology
Microbiome
100%