Attempt to show high dimensional data. I ended up going with a parallelogram as it allows lots of dimensions. The drawback of using a parallelogram is that it can be hard to read and get crowded. In this implementation I would've liked to have changed the color of each line for each car, but I ran out of time. Hover functionality to see what car…
Predicting the winners of Miss Finland 2016 with penalized logistic regression, using image data.
Constellat.io
This is a repository hosting all code and models detailed in the article Computational limits to the legibility of the human brain.
Easy-to-use Directed Automated Filtering and Identification of cell populations in single cell data
Marker gene selection from scRNA-seq data
An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Em…
Poisson pseudo-likelihood regression with multiple levels of fixed effects
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