Mixture models for analysing transcriptome and ChIP-chip data - Marie Laure Martin Magniette from thaliana Watch Video

⏲ Duration: 23 min 72 sec
✓ Published: 09-Jun-2015

Description:
Mixture models are useful for identifying underlying structures. In such models, the density of the observations is modelled by a weighted sum of parametric density (e.g. each component is a Gaussian distribution) and each one represents a subpopulation composed of observations sharing common characteristics. The first part of my talk will be dedicated to a presentation of the mixture models. I will explain the concept and the outputs of an analysis based on a mixture through easy examples. In t