Pages that link to "Item:Q3634568"

The following pages link to Penalized logistic regression for detecting gene interactions (Q3634568):

Displaying 35 items.

• Simultaneous variable selection and de-coarsening in multi-path change-point models (Q272078) (← links)
• Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches (Q309421) (← links)
• A lasso for hierarchical interactions (Q366961) (← links)
• Robust weighted kernel logistic regression in imbalanced and rare events data (Q452553) (← links)
• Random lasso (Q542508) (← links)
• Structures and assumptions: strategies to harness gene \(\times\) gene and gene \(\times\) environment interactions in GWAS (Q908125) (← links)
• Reference point logistic regression and the identification of DNA functional sites (Q1566110) (← links)
• Are financial ratios relevant for trading credit risk? Evidence from the CDS market (Q1621926) (← links)
• Multinomial regression with elastic net penalty and its grouping effect in gene selection (Q1724410) (← links)
• Exploring interactions in high-dimensional genomic data: an overview of logic regression, with applications (Q1876996) (← links)
• Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors (Q2058906) (← links)
• Classification of COVID19 Patients using robust logistic regression (Q2096398) (← links)
• Benchmarking penalized regression methods in machine learning for single cell RNA sequencing data (Q2163973) (← links)
• Ensemble quantile classifier (Q2291292) (← links)
• A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification (Q2324259) (← links)
• GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net (Q2344261) (← links)
• Convex hierarchical testing of interactions (Q2349556) (← links)
• On the impact of model selection on predictor identification and parameter inference (Q2358941) (← links)
• IPF-LASSO: integrative \(L_1\)-penalized regression with penalty factors for prediction based on multi-omics data (Q2405418) (← links)
• A comparison of multifactor dimensionality reduction and \(L_{1}\)-penalized regression to identify gene-gene interactions in genetic association studies (Q2921178) (← links)
• Private Computation on Encrypted Genomic Data (Q2946463) (← links)
• New estimation and feature selection methods in mixture-of-experts models (Q3086511) (← links)
• Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure (Q3459931) (← links)
• Incorporating Predictor Network in Penalized Regression with Application to Microarray Data (Q3576923) (← links)
• Directional Quantile Classifiers (Q5057099) (← links)
• New estimation in mixture of experts models using the Pearson type VII distribution (Q5087949) (← links)
• Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures (Q5120660) (← links)
• Model selection for logistic regression via association rules analysis (Q5218875) (← links)
• Robust logistic regression modelling via the elastic net-type regularization and tuning parameter selection (Q5222417) (← links)
• Log-Linear Models for Gene Association (Q5252127) (← links)
• Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization (Q5413947) (← links)
• Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses (Q6086164) (← links)
• Topological techniques in model selection (Q6115956) (← links)
• A nonparametric method for classification trees using grouped covariates (Q6550298) (← links)
• Penalized logistic regression with prior information for microarray gene expression classification (Q6590277) (← links)