Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

The discovery of somatic driver mutations in kinases and receptors has stimulated the development of molecularly targeted treatments that require companion diagnostics and new approaches to clinical ...

An observation is to be classified into one of two multivariate normal distributions with equal covariance matrices. When the parameters are unknown, four methods of estimating the likelihood ratio, ...

We propose a united approach to maximum likelihood estimation, classification, and statistical learning in the context of finite mixture models, based on observations that can be considered a ...

In the view of specific classification categories, some categories have been added while others reduced. On the one hand, the new classification of version 2002 especially focused on the ...