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I work on statistics and machine learning in biomedical data. At the moment I am working on the QuPath project, helping to improve and expand QuPath's ability to perform image analysis workflows in a variety of data types. Previously I worked on modelling of eQTLs using allele specific expression in celltype-specific studies of immune-mediated diseases, and before that on quantifying expression heterogeneity in single cell RNAseq data using a Bayesian approach.

I maintain some R packages:

I currently maintain two parts of the Bioconductor book ecosystem:

Book/Chapter Devel Release Issues Pull requests
OSCA devel release GitHub issues GitHub pulls
OSCA.multisample devel release GitHub issues GitHub pulls

I also contribute to:

  • CRAN packages:
  • Bioc:
    Package Devel Release Issues Pull requests
    BASiCS GitHub issues GitHub pulls

Some other stuff:

Alan O'Callaghan's Projects

qust icon qust

QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis

scater icon scater

Clone of the Bioconductor repository for the scater package.

scuttle icon scuttle

Clone of the Bioconductor repository for the scuttle package.

seurat icon seurat

R toolkit for single cell genomics

singlecellseq icon singlecellseq

Batch effects and the effective design of single-cell gene expression studies

slurm icon slurm

Cookiecutter for snakemake slurm profile

snifter icon snifter

R wrapper for the python openTSNE library

wsinfer icon wsinfer

🔥🚀 Blazingly fast pipeline for patch-based classification in whole slide images

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