Efficient Sparse-Group Bayesian Feature Selection for Gene Network Reconstruction
- Alternative title
-
Gennetzwerkrekonstruktion mit effizienter Bayes'scher Selektion von gruppierten Variablen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Notes
-
Berlin, Freie Universität Berlin, Dissertation, 2018
- Classification
-
Biowissenschaften, Biologie
- Keyword
-
Genes
Gene expression
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Freie Universität Berlin
- (when)
-
2018
- Creator
-
Steiger, Edgar
- URN
-
urn:nbn:de:kobv:188-refubium-22758-0
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Steiger, Edgar
- Freie Universität Berlin
Time of origin
- 2018
Other Objects (12)
Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling
Bayesian feature selection to estimate customer survival
The impact of Bayesian optimization on feature selection
Enhanced SparseEA for large-scale multi-objective feature selection problems
Sparse semi-supervised multi-label feature selection based on latent representation
Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Bayesian clustering and feature selection for cancer tissue samples
Bayesian (non-)unique sparse factor modelling
Sparse feature selection for classification and prediction of metastasis in endometrial cancer
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
A Bayesian network approach to feature selection in mass spectrometry data
Compressed Sensing and Sparse Reconstruction Algorithms
Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling
Bayesian feature selection to estimate customer survival
The impact of Bayesian optimization on feature selection
Enhanced SparseEA for large-scale multi-objective feature selection problems
Sparse semi-supervised multi-label feature selection based on latent representation
Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Bayesian clustering and feature selection for cancer tissue samples
Bayesian (non-)unique sparse factor modelling
Sparse feature selection for classification and prediction of metastasis in endometrial cancer
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
A Bayesian network approach to feature selection in mass spectrometry data
Compressed Sensing and Sparse Reconstruction Algorithms
Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling
Bayesian feature selection to estimate customer survival
The impact of Bayesian optimization on feature selection
Enhanced SparseEA for large-scale multi-objective feature selection problems
Sparse semi-supervised multi-label feature selection based on latent representation
Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Bayesian clustering and feature selection for cancer tissue samples
Bayesian (non-)unique sparse factor modelling
Sparse feature selection for classification and prediction of metastasis in endometrial cancer
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
A Bayesian network approach to feature selection in mass spectrometry data