A distance based multisample test for high-dimensional compositional data with applications to the human microbiome

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A distance based multisample test for high-dimensional compositional data with applications to the human microbiome

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Compositional data refer to the data that lie on a simplex, which are common in many scientific domains such as genomics, geology and economics. As the components in a composition must sum to one, traditional tests based on unconstrained data become inappropriate, and new statistical methods are needed to analyze this special type of data. |

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A distance based multisample test for high-dimensional compositional data with applications to the human microbiome

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Đang chuẩn bị liên kết để tải về tài liệu: A distance based multisample test for high-dimensional compositional data with applications to the human microbiome

Development of decision support system for e-supplier selection in Indian mechanical manufacturing industry using distance based approximation

Interpolation based on semantic distance weighting in hedge algebra and its application

Distance based k-means clustering algorithm for determining number of clusters for high dimensional data

Antigenic cartography of H1N1 influenza viruses using sequence-based antigenic distance calculation

Social Security abroad

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Socio-demographic characteristics of patients presenting pulmonary tuberculosis in a primary health centre, Zaria, Nigeria

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A distance based multisample test for high-dimensional compositional data with applications to the human microbiome