Search
Now showing items 1-2 of 2
Supervised Non-negative Matrix Factorization for Analysis of Microbiome Data
(2014-08-25)
Non-Negative Matrix Factorization (NMF) is a very useful tool to reduce dimension of data in machine learning and data mining. But it is an unsupervised learning method. To extract more discriminant information in the ...
MEASUREMENT ERROR DECONVOLUTION METHODS AND RANK SELECTION FOR NON-NEGATIVE MATRIX FACTORIZATION WITH APPLICATIONS IN MICROBIOME DATA
(2022-08-25)
Learning the structure of microbial communities is critical in understanding the
different community structures and functions of microbes in distinct individuals.
We view microbial communities as consisting of many ...