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Howdy y'all 👋

  • 🔭 I’m currently working on: statistical genetics/genomics/epigenomics applied to cancers, Alzheimer's and other neurodegenerative diseases, and substance use disorders (opioid use disorder specifically)
  • 🎓 My CV is:
  • 🌱 I’m currently learning: a lot, including some basic bioinformatics, some basics about substance use disorders, and more data science skills
  • 👯 I’m looking to collaborate on: some R/CRAN and R/Bioconductor packages, like
    • pathwayPCA: gene-set (pathway) based PCA
    • coMethDMR: regions of differential co-methylation
    • tidyREDCap (with @RaymondBalise): helper functions to deal with REDCap data
    • DOPE (with @labouz): the Drug Ontology Parsing Engine
    • CTNote: NIDA Clinical Trials Network Outcomes, Treatments, and Endpoints
  • ⚡ Fun fact: I'm a vagrant--I live in Miami while claiming Texas and Wisconsin as "home". Also, I'm an ordained and active (eastern-rite) Catholic priest
  • 🤔 I’m looking for help with: finding jobs for my master's and PhD students (HMU if you have open entry-level biostat/data science positions)
  • 📫 How to reach me: Email: gabriel DOT j DOT odom AT gmail DOT com; Twitter: @RevDocGabriel

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  1. pathwayPCA pathwayPCA Public

    integrative pathway analysis with modern PCA methodology and gene selection

    R 11 2

  2. CTN-0094/CTNote CTN-0094/CTNote Public


    TeX 1

  3. PHC6701_r4ds PHC6701_r4ds Public

    R for Data Science // Advanced R course materials

    HTML 2

  4. PHC6099_rBiostat PHC6099_rBiostat Public

    An R Cookbook for Public Health

    HTML 2 13