Mapping the microbial interactome: Statistical and experimental approaches for microbiome network inference
Authors
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Attention Stats
Abstract
Type
Department
Description
Provenance
Subjects
Citation
Permalink
Published Version (Please cite this version)
Publication Info
Dohlman, Anders B, and Xiling Shen (n.d.). Mapping the microbial interactome: Statistical and experimental approaches for microbiome network inference. Experimental Biology and Medicine. pp. 153537021983677–153537021983677. 10.1177/1535370219836771 Retrieved from https://hdl.handle.net/10161/18159.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Collections
Scholars@Duke
Xiling Shen
Dr. Shen’s research interests lie at precision medicine and systems biology. His lab integrates engineering, computational and biological techniques to study cancer, stem cells, microbiota and the nervous system in the gut. This multidisciplinary work has been instrumental in initiating several translational clinical trials in precision therapy. He is the director of the Woo Center for Big Data and Precision Health (DAP) and a core member of the Center for Genomics and Computational Biology (GCB).
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.