computational, experimental, and statistical human genomics
- Berkeley, California
- nsabell.github.io
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Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data
Visualize and interact with Protein Data Bank (pdb) and structural files in R and Shiny
Interactive visualization of mutational antigenic profiling data
Implementation of gene-level rare coding variant association tests targeting allelic series: cases where increasingly deleterious mutations have increasingly large phenotypic effects.