Claassen Group

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Research

We aim at elucidating the composition of heterogeneous cell populations and how these implement function in the context of cancer and immune biology by jointly evaluating single cell and genome wide measurements. Read more

Group News

03.03.2016

Claassen Lab Semester Project: Deep Learning for dynamic system motif detection in health and disease

Cells process external and internal biochemical signals by means of signaling cascades, which constitute complex, dynamical networks. In this project we use novel deep (machine) learning techniques to decompose such networks in their building blocks in order to elucidate the overall structure. Read more 

22.04.2015

Claassen Group: Causality from single-cell data

Causality inference from single-cell data. Inferring cause and effect, instead of mere correlative relationships between biological variables is a challenge of interest in many biological applications. This project deals with analyzing intervention experiments with single cell readout to infer causal signaling relationships. Read more 

26.08.2014

Eirini Arvaniti joins the lab as graduate student

Welcome! Read more 

12.07.2014

Workshop on Computational Single Cell Biology at ISMB in Boston

We are organizing a workshop for the Special Interest Group on Computational Single Cell Biology that will take place in conjunction with ISMB in Boston, USA on July 12, 2014 (CSCB14).  Read more 

 
 
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Thu Jun 30 01:34:28 CEST 2016
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