was one of the first programming languages I learned and fell in love with. My introduction to came when I took a statistics course in graduate school circa 2008. I was immediately hooked on the complexity and beauty of expressing ideas as code and…
Network mapping 101 course in review Course Organization This October I was lucky enough to teach an advanced metabolic data analysis course in collaboration University of California, Davis. The goal was to create the following network. The course…
Network mapping was used to visualize the association between significantly enriched pathways and evidence of association with a disease state. I will have to keep things vague untill the official manuscript is published. The data consists of counts…
The following details an example how to extend network structures to encode multiple pairwise comparisons through the application of hyper edges and establishing statistical reference groups. Networks can uniquely store data and relationships. This…
I am excited by the recent article Promises Are Made to Be Broken about the authors’ efforts to migrate ’s lazy evaluation to strict semantics. was the first programming language I learned (started about 10 years ago) and genuinely feel that its…
Hello world, it’s been a while since I last blogged but I never stopped my external opinings on data analysis and visualization. I published my last blog post on September 2, 2018 which highlighted the Rise of Deep Learning for Genomic, Proteomic…