- Queen Mary University of London
- London, United Kingdom
- @rafaelhenkin
Highlights
- Pro
I'm a Postdoctoral Researcher and Data Engineer at Queen Mary University of London. I'm an expert in interactive data visualisation and EHR datasets such as CPRD. I work with Python, R or Javascript depending on the situation (e.g. project requirements or collaborators' expertise). I created the following packages:
- (R)shinyExprPortal: a configurable portal for sharing analysis of molecular expression data
- (R)visxhclust: an app for visual exploration of hierarchical clustering
- (R)Interactive legends - Shiny UI component
I'm a researcher in theAI MULTIPLY consortium where I have been working on CPRD GOLD and CPRD Aurum datasets. As part of that, I authored or co-authored the following pipelines and packages:
- (Python)bursty_dynamics: a Python package to perform burstiness analysis on event data, including functions to calculate scores, compute trains and visualise results
- (Python + shell scripts)CPRD Data Pipeline Generator: an HPC job generator to process raw CPRD data and prepare an SQLite database for analysis-ready data, including codelist annotations and other steps.
Reach me byemail
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- C4TB/shinyExprPortal
C4TB/shinyExprPortal PublicDeploy interactive Shiny portals for exploration and showcase of analysis of molecular expression and phenotype data using a configuration file.
- visxhclust
visxhclust PublicA Shiny app and functions for visual exploration of hierarchical clustering.
R 4
- rforceplots
rforceplots PublicWrapper for shapjs node package for easy force plots in R without Python dependencies
R 1
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