Interpretation of microbiota-based diagnostics by explaining individual classifier decisions

Interpretation of microbiota-based diagnostics by explaining individual classifier decisions

Abstract Background The human microbiota is associated with various disease states and holds a great promise for non-invasive diagnostics. However, microbiota data is challenging for traditional diagnostic approaches: It is high-dimensional, sparse and comprises of high inter-personal variation. Sta...

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Bibliographic Details
Main Authors: A. Eck, L. M. Zintgraf, E. F. J. de Groot, T. G. J. de Meij, T. S. Cohen, P. H. M. Savelkoul, M. Welling, A. E. Budding
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
Microbiota
Inflammatory bowel disease (IBD)
Supervised classification
IS-pro
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12859-017-1843-1

Internet

http://link.springer.com/article/10.1186/s12859-017-1843-1

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