Check out our preprint of a review on causal inference in drug discovery, co-written with Jitao David Zhang.
Ammar and Adriaan will present posters at European Conference on Computational Biology.
Ammar will present his preprint “rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes”.
Adriaan will present a poster titled “Estimating Strengths of Causal Interactions for Gene Regulatory Networks in Yeast” on work that builds on his previous paper on causal gene regulatory networks in yeast.
Sean will attend the EMBO course Integrative analysis of multi-omics data.
Ammar will present a poster based on his preprint “rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes” at the World Congress of Psychiatric Genetics
Congratulations to Ammar for successfully defending his PhD thesis “Machine learning approaches for high-dimensional genome-wide association studies”!
Ammar will now continue in the group as a postdoctoral fellow on the NeuroConvergence project.
Congrats again Dr Malik!
A warm welcome to our new master students: Bendik (master in machine learning) will do a project with Ramin and Gutama about missing data prediction in causal networks, Ørjan (master in bioinformatics) will do a joint project with Anagha Joshi about spatial transcriptomics, and Daniel (master in bioinformatics) will do a joint project with Susanna Röblitz about comparing ML and classical dynamical systems methods for learning networks from time series data.
A warm welcome to Gutama Ibrahim who joins the group as a PhD student. Gutama has a master in Applied Physics and Mathematics from the University of Tromsø and he will work on the “Intelligent systems for disease risk prediction” project.
Congratulations to Ammar, whose paper “High-dimensional multi-trait GWAS by reverse prediction of genotypes” has been accepted for presentation at CIBB 2021!
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!