The potential of random forest and neural networks for biomass and recombinant protein modeling in <i>Escherichia coli</i> fed‐batch fermentations
Michael Melcher(Austrian Centre of Industrial Biotechnology (Austria)), Gerald Striedner(Christian Doppler Laboratory for Thermoelectricity), Markus Luchner(Austrian Centre of Industrial Biotechnology (Austria)), Theresa Scharl(Austrian Centre of Industrial Biotechnology (Austria)), Friedrich Leisch(LMU Klinikum), Bernhard Spangl(BOKU University), Karl Bayer(Austrian Centre of Industrial Biotechnology (Austria)), Monika Cserjan‐Puschmann(Austrian Centre of Industrial Biotechnology (Austria))
Cited by 44
Related Papers
Physical and mental health impact of COVID-19 on children, adolescents, and their families: The Collaborative Outcomes study on Health and Functioning during Infection Times - Children and Adolescents (COH-FIT-C&A)
|Journal of Affective Disorders|2021|85
Phytosiderophore-induced mobilization and uptake of Cd, Cu, Fe, Ni, Pb and Zn by wheat plants grown on metal-enriched soils
|Environmental and Experimental Botany|2017|64
Effects of glyphosate-based herbicides and their active ingredients on earthworms, water infiltration and glyphosate leaching are influenced by soil properties
|Environmental Sciences Europe|2021|48
Microbes on building materials — Evaluation of DNA extraction protocols as common basis for molecular analysis
|The Science of The Total Environment|2012|45
Process type identification in torrential catchments in the eastern Alps
|Geomorphology|2015|45