Recent Posts

• February 02, 2022

  Two collaborative projects awarded

  The NCMM recently published a call for the funding of collaborative projects between young researchers from the Arctic University of Norway, University of Tromsø and NCMM groups. We are happy to announce that we received funding for two projects. We will be collaborating with Erik Knutsen from the Department of Medical Biology to study epithelial to mesenchymal transition in breast cancer. Together with Ilona Urbanova from the

• February 01, 2022

  New group member

  We are very excited to announce that Gabriel Stav has joined the lab as a Master's thesis student. Gabriel is a student at the Cell Biology, Physiology and Neuroscience Master's program at the Department of Biosciences, Faculty of Mathematics and Natural Sciences, UiO. He'll be working on network approaches for analysis of Hi-C data and is co-supervised by Jonas Paulsen. Welcome Gabriel!

• January 10, 2022

  Giulia is back!

  We are very happy that Giulia is back in the group as a PhD student. Giulia will continuing her work on patient-specific network modeling in breast cancer. Welcome back Giulia!

• November 30, 2021

  Daniel receives funding from Familien Blix Fond

  We're thrilled to announce that Daniel has received funding from Familien Blix Fond on the project "Quinolinate Phosphoribosyltransferase (QPRT) as a target gene for the reduction of resistance development in ER-positive breast cancer." This project will allow us to validate computational predictions on a gene that is potentially involved in resistance to tamoxifen, which Daniel recently found through in silico knock-down experiments in breast cancer. We will be collaborating with...

• November 15, 2021

  New publication

  We are happy to announce that we have a new co-authored publication in Nature Machine Intelligence. The work, headed by Victor Greiff and Geir Kjetil Sandve at the University of Oslo, describes immuneML, a new platform for machine learning analysis of adaptive immune receptor repertoires. Ping-Han contributed with implementing a function to evaluate machine learning models as well as testing the tools. More information...