G3 paper

Our paper “Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders” has been published in G3. In this paper we analyse the mathematical structure of a class of statistical models for learning hidden factors influencing gene expression data and show that a new algorithm based on the analytical results is orders of magnitude faster than the standard algorithms for solving this class of models.

Welcome Mariyam!

A warm welcome to Mariyam Khan who joins us today as a PhD student!

Mariyam has a master degree in Mathematical Data Science from the University of Göttingen and will work on the NFR funded project “Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases”.

The pandemic being what it is, Mariyam joins us remotely at first, and we look forward to welcoming her in Bergen properly once border restrictions ease.

Welcome again, Mariyam!

Welcome Adriaan and Wouter!

A belated but nevertheless very warm welcome to Adriaan and Wouter who joined the group in October!

Adriaan is a postdoc with master and PhD degrees in physics who most recently worked as a postdoctoral researcher in the neurophysics group of Jordi Soriani in Barcelona. His focus there was on network inference methods for neuronal activity data, and he will use that experience to further develop our causal gene network inference methods for applications in systems genetics.

Wouter is a master student in bioinformatics and systems biology in Amsterdam who is joining the group for a 6-month internship. He will work on a method for inferring data-driven gene ontologies from gene expression data.

Welcome both!

Welcome Ramin!

A warm welcome to Ramin Hasibi who has joined the group as a PhD student. Ramin has a master degree in computer networks and a strong background in deep learning and machine learning more generally. Welcome!

Welcome Ammar!

A warm welcome to Ammar Malik who has joined the group as a PhD student. Ammar has a degree in Computer Engineering and brings with him a lot of experience in machine learning. Welcome!