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Stephan Seifert

Showing results (1-10 of 31) with videos related to

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Analytical and Bioanalytical Chemistry|June 23, 2026
Understanding complex analytical data by a supervised correlation coefficient obtained from random forestStephan Seifert
Scientific Reports|March 28, 2020
Application of random forest based approaches to surface-enhanced Raman scattering dataStephan Seifert
Bioinformatics (Oxford, England)|March 3, 2019
Surrogate minimal depth as an importance measure for variables in random forestsStephan Seifert, Sven Gundlach, Silke Szymczak
Chemical Society Reviews|June 27, 2024
SERS microscopy as a tool for comprehensive biochemical characterization in complex samplesJanina Kneipp, Stephan Seifert, Florian Gärber
Briefings in Bioinformatics|October 19, 2017
Evaluation of variable selection methods for random forests and omics data setsFrauke Degenhardt, Stephan Seifert, Silke Szymczak
Journal of Biophotonics|August 8, 2015
Identification of aqueous pollen extracts using surface enhanced Raman scattering (SERS) and pattern recognition methodsStephan Seifert, Virginia Merk, Janina Kneipp
Bioinformatics (Oxford, England)|July 31, 2023
Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of featuresLucas F Voges, Lukas C Jarren, Stephan Seifert
Journal of Biophotonics|May 14, 2016
Physiological influence of silica on germinating pollen as shown by Raman spectroscopyMaike Joester, Stephan Seifert, Franziska Emmerling, et al.
Bioinformatics (Oxford, England)|May 14, 2020
Integrating biological knowledge and gene expression data using pathway-guided random forests: a benchmarking studyStephan Seifert, Sven Gundlach, Olaf Junge, et al.
Metabolites|November 26, 2024
Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography-Mass Spectrometry and ChemometricsJule Hansen, Christof Kunert, Kurt-Peter Raezke, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Analytical and Bioanalytical Chemistry|June 23, 2026
Understanding complex analytical data by a supervised correlation coefficient obtained from random forestStephan Seifert
Scientific Reports|March 28, 2020
Application of random forest based approaches to surface-enhanced Raman scattering dataStephan Seifert
Bioinformatics (Oxford, England)|March 3, 2019
Surrogate minimal depth as an importance measure for variables in random forestsStephan Seifert, Sven Gundlach, Silke Szymczak
Chemical Society Reviews|June 27, 2024
SERS microscopy as a tool for comprehensive biochemical characterization in complex samplesJanina Kneipp, Stephan Seifert, Florian Gärber
Briefings in Bioinformatics|October 19, 2017
Evaluation of variable selection methods for random forests and omics data setsFrauke Degenhardt, Stephan Seifert, Silke Szymczak
Journal of Biophotonics|August 8, 2015
Identification of aqueous pollen extracts using surface enhanced Raman scattering (SERS) and pattern recognition methodsStephan Seifert, Virginia Merk, Janina Kneipp
Bioinformatics (Oxford, England)|July 31, 2023
Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of featuresLucas F Voges, Lukas C Jarren, Stephan Seifert
Journal of Biophotonics|May 14, 2016
Physiological influence of silica on germinating pollen as shown by Raman spectroscopyMaike Joester, Stephan Seifert, Franziska Emmerling, et al.
Bioinformatics (Oxford, England)|May 14, 2020
Integrating biological knowledge and gene expression data using pathway-guided random forests: a benchmarking studyStephan Seifert, Sven Gundlach, Olaf Junge, et al.
Metabolites|November 26, 2024
Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography-Mass Spectrometry and ChemometricsJule Hansen, Christof Kunert, Kurt-Peter Raezke, et al.
Pageof 4