Publications by dgrapov

Push it to the limit: SOM + Clustering + Networks

What is the highest dimensional visualization you can think of? Now imagine it being interactive. The following details a Frankenstein visualization packing a smorgasbord of multivariate goodness. Enter first, self-organizing maps (SOM). I first fell into a love dream with SOMs after using the kohonen package. The  wines data set example is a�...

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Machine Learning Powered Biological Network Analysis

Metabolomic network analysis can be used to interpret experimental results within a variety of contexts including: biochemical relationships, structural and spectral similarity and empirical correlation. Machine learning is useful for modeling relationships in the context of pattern recognition, clustering, classification and regression based pre...

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