VSOLassoBag: a variable-selection oriented LASSO bagging algorithm for biomarker discovery in omic-based translational research
Open Access
- 3 January 2023
- journal article
- research article
- Published by Elsevier in Journal of Genetics and Genomics
- Vol. 50 (3) , 151-162
Abstract
No abstract availableKeywords
Funding Information
- National Key Clinical Specialty Discipline Construction Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province (2021A1515011743)
- National Natural Science Foundation of China (82172861)
- National Key Research and Development Program of China (2021YFA1302100)
This publication has 36 references indexed in Scilit:
- Accounting for technical noise in single-cell RNA-seq experimentsNature Methods, 2013
- External validation of a Cox prognostic model: principles and methodsBMC Medical Research Methodology, 2013
- The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroupsNature, 2012
- Model-Free Feature Screening for Ultrahigh-Dimensional DataJournal of the American Statistical Association, 2011
- Regression Shrinkage and Selection via The Lasso: A RetrospectiveJournal of the Royal Statistical Society Series B: Statistical Methodology, 2011
- Classification and regression treesWIREs Data Mining and Knowledge Discovery, 2011
- Lasso-type recovery of sparse representations for high-dimensional dataThe Annals of Statistics, 2009
- Logistic regression for disease classification using microarray data: model selection in a largepand smallncaseBioinformatics, 2007
- The Adaptive Lasso and Its Oracle PropertiesJournal of the American Statistical Association, 2006
- Support vector machinesIEEE Intelligent Systems and their Applications, 1998