MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks.

Lo, Chieh; Marculescu, Radu

Lo, Chieh; Marculescu, Radu.

Affiliation

Lo C; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, USA.
Marculescu R; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, USA. radum@cmu.edu.

BMC Bioinformatics ; 20(Suppl 12): 314, 2019 Jun 20.

Article in En | MEDLINE | ID: mdl-31216991

Subject(s)

Algorithms; Metagenomics/methods; Neural Networks, Computer; Area Under Curve; Databases, Genetic; Humans; Machine Learning; Microbiota/genetics; Models, Theoretical; Phenotype; ROC Curve; Support Vector Machine

Key words

Host phenotypes; Machine learning; Metagenomics; Neural networks

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Neural Networks, Computer / Metagenomics Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: United States

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