Many domains require an understanding of the data in terms of the original features; there is hence a need for powerful visualization methods which use understandable models. In this article, we ...

Dr. Tom's intuitive interface allows users to analyze, visualize, and interpret many types of genetic data. As UC Davis Ph.D. candidate, Yongheng Wang puts it, "I think a high school student could ...

The exvar R package performs gene expression and genetic variats (SNPs, Indels, and CNVs) data analysis and visualization. It is developed to facilitate and minimize the skills required for the ...

Genomic Data Visualization. Genomic data visualization focuses on visualizing DNA sequence features, genetic variants, and genome-wide association studies (GWAS). Technologies such as genome browsers, ...

Abstract: Genetic programming (GP) has shown promising results in interpretable feature extraction, but few works considered both classification accuracy and data visualization as objectives.

Spatial Sonification & Visualization of Genetic Data for Rapid Identification of Cancer-Causing Mutations. This project will build and study an immersive multimodal system to represent and interact ...

geppy is built on top of the excellent evolutionary computation framework DEAP for rapid prototyping and testing of ideas with GEP. DEAP provides fundamental support for GP, while lacking support for ...

The Practical Course on Scientific Programming and Data Visualization was developed at Harvard where it was offered for the last two years. In 2010, for the first time, it will move to Heidelberg, ...