Research talk 1: Jeanne Cheneby
Research talk 2: Lonneke Scheffer
Research talk 3: Paula Istvan
Research Talk 1: Giulia Schito
Invited talk and discussion: "Good research supervision" by Anthony Mathelier
Research Talk 1: Katalin Ferenc - early steps towards the PhD project titled "Stratification of breast cancer subtypes based on patient-derived cis-regulatory signatures"
Research Talk 2: Oda Hovet - Investigating nuclear deformation upon confinement – bridging experimental analysis and computational modeling
Research Talk 1: Mostafa Alwash:Real & Learnt world's: How synthetic data can inform understanding of a Data-Generating Process.
Research Talk 2: Tatiana Belova - Exploring cancer gene regulatory landscape with patient-specific gene regulatory networks
Research Talk 1: Enrico Riccardi: Multiple Instance Learning Regularization.
Research Talk 2: Christian Bope: A Mutational Signatures Refitting Algorithm
Persistent homology is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of input data, independent of dimensions and coordinates, and provides a compact representation of the qualitative features of the input. This talk by Ole Christian Lingjærde will give a brief introduction to the key concepts of persistent homology with examples.
Research Talk 1: Negar Nahali: Association of semi-flexible filaments under different confinement geometries.
Research Talk 2: Bayram Akdeniz: Finemap-Mixer: A variational Bayesian approach for genetic fine mapping.
The session will have two parts. The first part provides a basic introduction to the different uses of data simulation in bioinformatics. The second part will set the stage for an advanced discussion on the role of data simulation in bioinformatics research.
Research Talk 1: Ivar Grytten: KAGE: A presentation of our new genotyper, some lessons learned from this project, and a few notes on using Python for high-performance computing in Bioinformatics.
Research Talk 2: Vipin Kumar: Integrating Hi-C with CAGE to detect transcription hubs
Speaker: Geir Kjetil Sandve
Topic 1: Knowledge base of Centre for Bioinformatics (approx 10 minutes intro + up to 10 minutes for discussion). Milena Pavlovic will introduce the topic.
Topic 2: An example from SBI knowledge base (how to best serve the methods that you develop for others to try out with minimal installation/dependency overhead) (5-10 min). Ghadi Al Hajj will introduce the topic.
Topic 3: A discussion topic with the following keywords “Unequaled parameter tuning; Continental Breakfast effect; Researcher degrees of freedom”. Chakri will introduce the topic.