Direct interaction network and differential network inference from compositional data via lasso pena...
Direct interaction network and differential network inference from compositional data via lasso penalized D-trace loss
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
The development of high-throughput sequencing technologies for 16S rRNA gene profiling provides higher quality compositional data for microbe communities. Inferring the direct interaction network under a specific condition and understanding how the network structure changes between two different environmental or genetic conditions are two important...
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Full title
Direct interaction network and differential network inference from compositional data via lasso penalized D-trace loss
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TN_cdi_plos_journals_2263613927
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2263613927
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0207731
