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@edbiomedai

EdBiomedAI

Ava Khamseh and Sjoerd Beentjes groups developing and applying causal inference methodologies for biomedical discovery

EdBiomedAI

This is the Github organisation of the research groups of Ava Khamseh and Sjoerd Beentjes located at the Institute of Genetics and Cancer, as well as Schools of Informatics and Mathematics, Edinburgh, UK.

We are a group of cross-disiplinary researchers, and have members with backgrounds in Mathematics, Physics, Statistics, Molecular Biology and Bioinformatics.

Using rigourous mathematical, statistical, machine-learning and causal inference frameworks, such as Targeted Learning, we work on

  1. Identifying causal molecular markers of disease in the UK biobank (e.g. genotype, expression, ...) (in collaboration with Chris Ponting and Mark van der Laan)
  2. Identifying genetic perturbation effects in high-content, high-throughput screenings (in collaboration with Chris Ponting
  3. Pinpointing drivers and mutational competition in early liver cancer (in collaboration with Luke Boulter)

We believe in an open, collaborative approach to Science. If you would like to know more about our research, please visit https://edbiomed.ai/

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    Single-cell morphological analysis

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  2. cellextract cellextract Public

    Nextflow pipelines to go from fluorescent images to single-cell features

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  3. .github .github Public

    Repository to display general information about the lab

  4. PopGenEstimatorComparison.jl PopGenEstimatorComparison.jl Public

    Comparing estimators in population genetics

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  5. TarGeneSimulationStudy TarGeneSimulationStudy Public

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  6. Profiler Profiler Public

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