Name: Kevin Vervier
Type: User
Company: Novartis
Bio: Associate Director for Data Science at Novartis, my research topics are statistics and machine learning for late-stage clinical trials.
Twitter: KevinVervier
Location: Basel, Switzerland
Blog: https://www.sanger.ac.uk/people/directory/kevin-vervier-phd
Kevin Vervier's Projects
Accelerated proximal gradient in R
AutoML Solution for Imbalanced Domain Learning [R Package]
Combination of brain-specific variant annotation and transcriptome imputation
spatiotemporal context estimation for genetic variants in the brain development
This repository provides a GUI app for phenotype assays analysis from raw data to chemoinformatics.
Curation for curatedMetagenomicData
Fast Gene Set Enrichment Analysis
data processing for Kinect gait records
Metagenomics analysis scripts/toolkit in R
Team162 metagenome pipeline
Source for reproducing results presented in "Large-scale machine learning for metagenomics sequence classification" (Vervier et al., 2016)
UIHC machine learning tutorial
Learning tasks with orthogonal/disjoint supports
introduction to machine learning using Pokemon characteristics
An interactive web application for demonstrating and using phyloseq.
Large-scale Machine Learning for gene expression prediction based on genotype only
Source for reproducing results presented in 'Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data' (Vervier et al., 2015)
wrapper script combining Mash and GTDB databases
Tissue-specific variant annotation