Daniel Beck, Ph.D.
Affiliations: | 2014 | Bioinformatics & Computational Biology | University of Idaho, Moscow, ID, United States |
Area:
Bioinformatics Biology, Microbiology BiologyGoogle:
"Daniel Beck"Parents
Sign in to add mentor| James A. Foster | grad student | 2014 | University of Idaho | |
| (Investigating the use of classification models to study microbial community associations with bacterial vaginosis.) | ||||
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Publications
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| Beck D, Foster JA. (2015) Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis. Biodata Mining. 8: 23 |
| Beck D, Dennis C, Foster JA. (2015) Seed: a user-friendly tool for exploring and visualizing microbial community data. Bioinformatics (Oxford, England). 31: 602-3 |
| Beck D, Foster JA. (2015) Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis Biodata Mining. 8: 1-9 |
| Baker YS, Agrawal R, Foster JA, et al. (2014) Detecting Bacterial Vaginosis Using Machine Learning. Proceedings of the 2014 Acm Southeast Regional Conference / Association For Computing Machinery-Digital Library. 2014 |
| Baker YS, Agrawal R, Foster JA, et al. (2014) APPLYING MACHINE LEARNING TECHNIQUES IN DETECTING BACTERIAL VAGINOSIS. Proceedings / International Conference On Machine Learning and Cybernetics. International Conference On Machine Learning and Cybernetics. 2014: 241-246 |
| Carter J, Beck D, Williams H, et al. (2014) GA-Based Selection of Vaginal Microbiome Features Associated with Bacterial Vaginosis. Genetic and Evolutionary Computation Conference : [Proceedings] / Sponsored by Acm Sigevo. Genetic and Evolutionary Computation Conference. 2014: 265-268 |
| Beck D, Foster JA. (2014) Machine learning techniques accurately classify microbial communities by bacterial vaginosis characteristics. Plos One. 9: e87830 |
| Baker YS, Beck D, Agrawal R, et al. (2014) Detecting Bacterial Vaginosis using machine learning Proceedings of the 2014 Acm Southeast Regional Conference, Acm SE 2014 |
| Copeland WK, Krishnan V, Beck D, et al. (2012) mcaGUI: microbial community analysis R-Graphical User Interface (GUI). Bioinformatics (Oxford, England). 28: 2198-9 |
| Day MD, Beck D, Foster JA. (2011) Microbial Communities as Experimental Units. Bioscience. 61: 398-406 |