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gdagstn/README.md

Hi there πŸ‘‹

I am a computational biologist - originally trained as molecular biologist - who started learning data analysis in R in 2017. My current areas of expertise include transcriptomics (bulk and single cell), translatomics, neurodevelopmental disorders, neurodegenerative diseases, genome editing, and stem cell biology. I am particularly passionate about data visualization.

Since early 2021 I started honing my skills as a package developer. So fare I have released seven R packages in the wild:

  • 🧠 {coldcuts} - draw and render neuroanatomical segmentations in 2D and 3D
  • 🍳 {oveRlay} - annotate 2D scatterplots with overlay polygons
  • 🎨 {swatcheR} - generate color swatches from pictures
  • 🦜 {alamak} - let Pixel Pals handle your errors
  • πŸ—ΊοΈ {borges} - antique cartographic style 2D point clouds (UMAP, tSNE and the like)
  • 🧫 {cellula} - pipeline with wrappers to many single cell RNA-seq analysis methods
  • 🏒 {HDB} - a geometric test to detect batch effects in single cell RNA-seq

hexwall

with hopefully more to come.

πŸ›  I am currently learning three.js, a little bit of Python on the side, and Arduino physical computing as a hobby.

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  1. cellula cellula Public

    Simple implementation of different single cell RNA-seq methods

    R 6 1

  2. swatcheR swatcheR Public

    Fast automatic selection of color swatches from images

    R 22

  3. coldcuts coldcuts Public

    Forked from langleylab/coldcuts

    coldcuts is an R package to automatically generate and plot segmentation drawings in R

    R

  4. borges borges Public

    Antique or modern atlas-like depictions of non-linear dimensionality reduction for single cell data

    R 18

  5. alamak alamak Public

    alamak catches your errors and lets a pixel pal tell you all about it.

    R 14

  6. shinygradient shinygradient Public

    Shiny app to generate gradient RGB palettes

    R 1