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Bioinformatics (Oxford, England)
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August 6, 2021
Predicting correlated outcomes from molecular data
Armin Rauschenberger, Enrico Glaab
Journal of Applied Statistics
|
June 27, 2024
Predicting dichotomised outcomes from high-dimensional data in biomedicine
Armin Rauschenberger, Enrico Glaab
Bioinformatics (Oxford, England)
|
July 17, 2025
Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation
Armin Rauschenberger, Petr N Nazarov, Enrico Glaab
Bioinformatics (Oxford, England)
|
May 22, 2020
Predictive and interpretable models via the stacked elastic net
Armin Rauschenberger, Enrico Glaab, Mark A van de Wiel
Bioinformatics (Oxford, England)
|
November 11, 2023
Penalized regression with multiple sources of prior effects
Armin Rauschenberger, Zied Landoulsi, Mark A van de Wiel, et al.
BMJ Open
|
December 7, 2021
Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review
Enrico Glaab, Armin Rauschenberger, Rita Banzi, et al.
Brain Communications
|
June 12, 2024
Converging peripheral blood microRNA profiles in Parkinson's disease and progressive supranuclear palsy
Lukas Pavelka, Armin Rauschenberger, Ahmed Hemedan, et al.
BMC Bioinformatics
|
March 9, 2016
Testing for association between RNA-Seq and high-dimensional data
Armin Rauschenberger, Marianne A Jonker, Mark A van de Wiel, et al.
Biometrical Journal. Biometrische Zeitschrift
|
July 12, 2022
A powerful global test for spliceQTL effects
Renee X de Menezes, Armin Rauschenberger, , et al.
Journal of Parkinson'S Disease
|
February 11, 2022
Retrograde Procedural Memory in Parkinson's Disease: A Cross-Sectional, Case-Control Study
Laure Pauly, Claire Pauly, Maxime Hansen, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
Bioinformatics (Oxford, England)
|
August 6, 2021
Predicting correlated outcomes from molecular data
Armin Rauschenberger, Enrico Glaab
Journal of Applied Statistics
|
June 27, 2024
Predicting dichotomised outcomes from high-dimensional data in biomedicine
Armin Rauschenberger, Enrico Glaab
Bioinformatics (Oxford, England)
|
July 17, 2025
Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation
Armin Rauschenberger, Petr N Nazarov, Enrico Glaab
Bioinformatics (Oxford, England)
|
May 22, 2020
Predictive and interpretable models via the stacked elastic net
Armin Rauschenberger, Enrico Glaab, Mark A van de Wiel
Bioinformatics (Oxford, England)
|
November 11, 2023
Penalized regression with multiple sources of prior effects
Armin Rauschenberger, Zied Landoulsi, Mark A van de Wiel, et al.
BMJ Open
|
December 7, 2021
Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review
Enrico Glaab, Armin Rauschenberger, Rita Banzi, et al.
Brain Communications
|
June 12, 2024
Converging peripheral blood microRNA profiles in Parkinson's disease and progressive supranuclear palsy
Lukas Pavelka, Armin Rauschenberger, Ahmed Hemedan, et al.
BMC Bioinformatics
|
March 9, 2016
Testing for association between RNA-Seq and high-dimensional data
Armin Rauschenberger, Marianne A Jonker, Mark A van de Wiel, et al.
Biometrical Journal. Biometrische Zeitschrift
|
July 12, 2022
A powerful global test for spliceQTL effects
Renee X de Menezes, Armin Rauschenberger, , et al.
Journal of Parkinson'S Disease
|
February 11, 2022
Retrograde Procedural Memory in Parkinson's Disease: A Cross-Sectional, Case-Control Study
Laure Pauly, Claire Pauly, Maxime Hansen, et al.
Page
of 3