gmcoda: Graphical model for multiple compositional vectors in microbiome studies
Author:
Affiliation:
1. Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University , Beijing 100048, China
2. Academy of Multidisciplinary Studies, Capital Normal University , Beijing 100048, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad700/53483101/btad700.pdf
Reference14 articles.
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3. CCLasso: correlation inference for compositional data through lasso;Fang;Bioinformatics,2015
4. gCoda: conditional dependence network inference for compositional data;Fang;J Comput Biol,2017
5. Inferring correlation networks from genomic survey data;Friedman;PLoS Comput Biol,2012
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