The following pages link to mixOmics (Q21489):
Displaying 25 items.
- Radial basis function-sparse partial least squares for application to brain imaging data (Q382626) (← links)
- Joint and individual variation explained (JIVE) for integrated analysis of multiple data types (Q1951546) (← links)
- Penalized orthogonal-components regression for large \(p\) small \(n\) data (Q1952001) (← links)
- News-based forecasts of macroeconomic indicators: a semantic path model for interpretable predictions (Q1991118) (← links)
- A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models (Q2084460) (← links)
- Envelope-based sparse partial least squares (Q2176612) (← links)
- Penalized partial least square applied to structured data (Q2189327) (← links)
- Identification of supervised and sparse functional genomic pathways (Q2195286) (← links)
- PLS for Big Data: a unified parallel algorithm for regularised group PLS (Q2323935) (← links)
- A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data (Q2324950) (← links)
- Sliced inverse regression for integrative multi-omics data analysis (Q2324966) (← links)
- Genome-wide association studies with high-dimensional phenotypes (Q2344239) (← links)
- Supervised clustering of variables (Q2418257) (← links)
- Sparse CCA using a lasso with positivity constraints (Q2445767) (← links)
- A sparse PLS for variable selection when integrating omics data (Q2864004) (← links)
- Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges (Q3298453) (← links)
- Multi-class classification of biomechanical data: A functional LDA approach based on multi-class penalized functional PLS (Q3386481) (← links)
- (Q4556737) (← links)
- (Q4969262) (← links)
- Sparse partial least squares regression for on‐line variable selection with multivariate data streams (Q4969714) (← links)
- Combining clustering of variables and feature selection using random forests (Q5083993) (← links)
- A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology (Q5085654) (← links)
- [HDDA] sparse subspace constrained partial least squares (Q5107373) (← links)
- Random Forests with R (Q5130038) (← links)
- (Q5148955) (← links)
