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Predicting the hma-lma status in marine sponges by machine ..:
Moitinho-Silva, Lucas
;
Steinert, Georg
;
Nielsen, Shaun
...
Frontiers in Microbiology. , 2017
Link:
http://hdl.handle.net/10379/12933
RT Journal T1
Predicting the hma-lma status in marine sponges by machine learning
UL https://suche.suub.uni-bremen.de/peid=base-ftnuigalway:oai:aran.library.nuigalway.ie_:10379_12933&Exemplar=1&LAN=DE A1 Moitinho-Silva, Lucas A1 Steinert, Georg A1 Nielsen, Shaun A1 Hardoim, Cristiane C. P A1 Wu, Yu-Chen A1 McCormack, Grace P A1 López-Legentil, Susanna A1 Marchant, Roman A1 Webster, Nicole A1 Thomas, Torsten A1 Hentschel, Ute PB Frontiers Media SA YR 2017 K1 marine sponges K1 microbiome K1 16s rrna gene K1 microbial diversity K1 symbiosis K1 random forest K1 microbial abundance sponges K1 bacterial communities K1 species richness K1 random forests K1 specificity K1 diversity K1 phylogeny K1 ultrastructure K1 microorganisms K1 demospongiae JF Frontiers in Microbiology LK http://hdl.handle.net/10379/12933 DO http://hdl.handle.net/10379/12933 SF ELIB - SuUB Bremen
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