Ghislain Durif

Latest

• A Wilcoxon-Mann-Whitney spatial scan statistic for functional data
• Developing an R package
• Reproducible research, Good practices and useful information
• Divergent clonal differentiation trajectories establish CD8+ memory T~cell heterogeneity during acute viral infections in humans
• Introduction to R shiny
• Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest
• Kernel Operations on the GPU, with Autodiff, without Memory Overflows
• R shiny: building interactive graphical applications seamlessly
• A non exhaustive tour of optimization-related tools for machine learning and statistics in R
• Introduction to R shiny
• KeOps: seamless Kernel Operations on GPU without memory overflows
• Introduction to Machine Learning
• Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm
• Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software
• Seamless Kernel Operations on GPU, with auto-differentiation and without memory overflows
• Dimension reduction for Single Cell Expression Data Analysis
• Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
• KeOps: seamless Kernel Operations on GPU, with auto-differentiation and without memory overflows
• Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
• Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
• Sparsity and dimension reduction
• Multivariate analysis of single cell genomic expression data
• High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression
• High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression
• Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
• Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
• High dimensional classification with combined adaptive sparse PLS and logistic regression
• Count-based Probabilistic PCA for single-cell data analysis
• Multivariate statistics for single-data data analysis: zero-inflated count matrix factorization for data exploration and sparse PLS-based logistic regression for classification
• Multivariate analysis of high-throughput sequencing data
• Count Matrix Factorization and Single Cell Data Analysis
• Count Matrix Factorization and Single Cell Data Analysis
• Count Matrix Factorization for Dimension Reduction and Data Visualization
• Adaptive Sparse PLS for Logistic Regression
• Adaptive Sparse PLS for Logistic Regression
• Adaptive Sparse PLS for Logistic Regression
• Adaptive Sparse PLS for Logistic Regression
• Adaptive Spare PLS for Logistic Regression: Dimension reduction, variable selection and classification
• Réduction de dimension, sélection de variables et classification supervisée: Sparse PLS et modèle linéaire généralisé (french)
• Multivariate analysis and dimension reduction: Sparse PLS, a comparative study