This review discusses data analysis strategies for the discovery of biomarkers in clinical proteomics. Proteomics studies produce large amounts of data, characterized by few samples of which many variables are measured. A wealth of classification methods exists for extracting information from the data. Feature selection plays an important role in reducing the dimensionality of the data prior to...

Nonadiabatic molecular dynamics occur in a wide range of chemical reactions and femtochemistry experiments involving electronically excited states. These are hard to treat numerically as the system's complexity increases it is thus desirable have accurate yet affordable methods for their simulation. Here, we introduce linearized semiclassical method, generalized discrete truncated Wigner approx...