LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification ; volume:10 ; number:1 ; day:17 ; month:12 ; year:2020 ; pages:1-16 ; date:12.2020
Scientific reports ; 10, Heft 1 (17.12.2020), 1-16, 12.2020
- Creator
-
Liu, Xiao-Ying
Wu, Sheng-Bing
Zeng, Wen-Quan
Yuan, Zhan-Jiang
Xu, Hong-Bo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-020-79028-0
- URN
-
urn:nbn:de:101:1-2021011818495879109185
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 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
- Liu, Xiao-Ying
- Wu, Sheng-Bing
- Zeng, Wen-Quan
- Yuan, Zhan-Jiang
- Xu, Hong-Bo
- SpringerLink (Online service)
Other Objects (12)
Maximum softly-penalized likelihood for mixed effects logistic regression
Log linear models and logistic regression
Penalized logistic regression with low prevalence exposures beyond high dimensional settings
Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Gene and pathway identification with L p penalized Bayesian logistic regression
Simultaneous factors selection and fusion of their levels in penalized logistic regression
Clinical Drug Response Prediction by Using a Lq Penalized Network-Constrained Logistic Regression Method
Hierarchical transmuted log-logistic model: A subjective Bayesian analysis
Log-logistic distribution for survival data analysis using MCMC
The Zografos-Balakrishnan Log-Logistic Distribution: Properties and Applications
The Kumaraswamy Marshall-Olkin Log-Logistic Distribution with Application
penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
Maximum softly-penalized likelihood for mixed effects logistic regression
Log linear models and logistic regression
Penalized logistic regression with low prevalence exposures beyond high dimensional settings
Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Gene and pathway identification with L p penalized Bayesian logistic regression
Simultaneous factors selection and fusion of their levels in penalized logistic regression
Clinical Drug Response Prediction by Using a Lq Penalized Network-Constrained Logistic Regression Method
Hierarchical transmuted log-logistic model: A subjective Bayesian analysis
Log-logistic distribution for survival data analysis using MCMC
The Zografos-Balakrishnan Log-Logistic Distribution: Properties and Applications
The Kumaraswamy Marshall-Olkin Log-Logistic Distribution with Application
penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
Maximum softly-penalized likelihood for mixed effects logistic regression
Log linear models and logistic regression
Penalized logistic regression with low prevalence exposures beyond high dimensional settings
Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Gene and pathway identification with L p penalized Bayesian logistic regression
Simultaneous factors selection and fusion of their levels in penalized logistic regression
Clinical Drug Response Prediction by Using a Lq Penalized Network-Constrained Logistic Regression Method
Hierarchical transmuted log-logistic model: A subjective Bayesian analysis
Log-logistic distribution for survival data analysis using MCMC
The Zografos-Balakrishnan Log-Logistic Distribution: Properties and Applications
The Kumaraswamy Marshall-Olkin Log-Logistic Distribution with Application