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Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations

2016-12-06

Abstract excerpt

Human microbiome data from genomic sequencing technologies is fast accumulating, giving us insights into bacterial taxa that contribute to health and disease. Predictive modeling of such microbiota count data for classification of human infection from parasitic worms such as helminths can help in detection and management across global populations. Real-world datasets of microbiome experiments are typically sparse...

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Literature Corpus work
87d536f7-a578-503c-abb2-fe194fd1919e
DOI
10.20944/preprints201612.0031.v1
Open publication

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Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global PopulationsDOI 10.20944/preprints201612.0031.v1
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