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.
Congrats Ammar!
Congratulations to Ammar, whose paper “High-dimensional multi-trait GWAS by reverse prediction of genotypes” has been accepted for presentation at CIBB 2021!
Congrats Ramin!
Congratulations to Ramin, whose paper “A graph feature auto-encoder for the prediction of unobserved node features on biological networks” has been published in BMC Bioinformatics!
Two preprints by Ramin
Congrats to Ramin for posting no less than two preprints on arXiv:
- Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
- Integrating Sensing and Communication in Cellular Networks via NR Sidelink
Both papers result from a collaboration between Ramin and Dariush Salami at the Ambient Intelligence group at Aalto University, and introduce new graph neural network-based methods for analyzing point cloud data.
Great to see when students independently initiate projects and push them through to completion (exposing the limits of their supervisor’s knowledge in the process 🙂
Congratulations Sean!
Warm congratulations to Sean for successfully passing his PhD viva at the University of Edinburgh! Sean will now join us as a postdoc at CBU to work on the INTRePID project.
Welcome to Bergen Dr Bankier!
PhD position available
A PhD position is available in my group to work on the INTRePID project.
Molecular Omics cover article
Congratulations to Adriaan for having his article (and art work!) selected for the cover of the April issue of Molecular Omics!
CEDAS conference 2021
Does your work involve data science? Are you curious about research in data science in Bergen? The CEDAS conference 2021 will be a 2-day event featuring talks and discussion by leading international scientists and local experts on the interaction between data science, statistics, machine learning, and AI, as well as their applications in science and society. The conference will also provide a friendly virtual poster session to present your own work, and an opportunity to connect (meeting physically if regulations allow) with like-minded data scientists from around Bergen.
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!
PhD and postdoc position available
One PhD position and one postdoc position are available to work on the INTRePID project.