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Using machine learning to link the influence of transferred..:
Miguel Angel Alcalde
;
Maren Müller
;
Sergi Munné-Bosch
...
https://www.frontiersin.org/articles/10.3389/fpls.2022.1001023/full. , 2022
Link:
https://doi.org/10.3389/fpls.2022.1001023
RT Journal T1
Using machine learning to link the influence of transferred Agrobacterium rhizogenes genes to the hormone profile and morphological traits in Centella asiatica hairy roots
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:12095d20aea3424ba2a5671d8c3a9287&Exemplar=1&LAN=DE A1 Miguel Angel Alcalde A1 Maren Müller A1 Sergi Munné-Bosch A1 Mariana Landín A1 Pedro Pablo Gallego A1 Mercedes Bonfill A1 Javier Palazon A1 Diego Hidalgo-Martinez PB Frontiers Media S.A. YR 2022 K1 Agrobacterium rhizogenes K1 plant hormones K1 hairy root cultures K1 Centella asiatica K1 centellosides K1 machine learning K1 Plant culture K1 SB1-1110 JF https://www.frontiersin.org/articles/10.3389/fpls.2022.1001023/full LK http://dx.doi.org/https://doi.org/10.3389/fpls.2022.1001023 DO https://doi.org/10.3389/fpls.2022.1001023 SF ELIB - SuUB Bremen
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