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elisagdelope/README.md

Hi there, I'm Elisa 👋

I'm a researcher with a blend of ML/DL and bioinformatics expertise. I just finished my doctoral studies, which revolved around statistical, interpretable ML, and graph representation learning methods to identify blood-based molecular markers in Parkinson's disease diagnosis and prognosis. I'm passionate about applying ML techniques to solve challenges in the biomedical field.

About me:

  • 🔭 I’m currently working on GNN-based pipelines to model omics data representations
  • 🤔 I’m looking for help with finding omics datasets with case-control samples in the context of neurodegeneration
  • 🌱 I’m currently learning about LLMs & pLMs
  • 💡 I'm interested in entrepreneurship
  • 👩🏻‍💻 I'm a Google Summer of Code '24 contributor at DeepChem.

Drop me a line if you think I can help you!

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  1. GRL_molecular_interactions_PD GRL_molecular_interactions_PD Public

    Graph representation learning modelling pipeline exploiting molecular interaction networks derived from high-throughput omics profiles to learn PD-specific fingerprints in an end-to-end fashion. It…

    Jupyter Notebook 2

  2. GRL_sample_similarity_PD GRL_sample_similarity_PD Public

    Graph representation learning modelling pipeline exploiting sample-similarity networks derived from high-throughput omics profiles to learn PD-specific fingerprints in an end-to-end fashion. It is …

    Python 1

  3. NestedCV NestedCV Public

    Package and environment with the NestedCV() class - a scikit-learn compatible class for nested cross-validation.

    Python 1 1

  4. ML_PD_metab_transc ML_PD_metab_transc Public

    ML models for Parkinson's disease case-control classification using blood-based transcriptomics and metabolomics measurements at the baseline clinical visit along with dynamic features engineered f…

    Jupyter Notebook

  5. statistical_analyses_cross_long_PD statistical_analyses_cross_long_PD Public

    Statistical analyses for cross-sectional and longitudinal profiling of Parkinson's disease patients and controls transcriptomics and metabolomics from the PPMI cohort and the LuxPARK cohort respect…

    R

  6. funOmics funOmics Public

    Aggregates or summarizes omics data into higher level functional representations such as GO terms gene sets or KEGG metabolic pathways, facilitating the analysis of functional molecular sets that a…

    R 5