Applied Systems Biology
2023 - vol 3
Embedded Files
MSc / PhD course at the Faculty of Information Technology and Bionics, Pázmány Péter Catholic University
4 credits, on Tuesdays and Thursdays between 15:15 – 17:00 (Hungarian local time) in room 134
lectures are always on Tuesdays
on Thursdays student presentations are performed on a pool of papers and earlier talks
Organised by Attila Csikász-Nagy and Andrea Ciliberto
Lectures from earlier years can be found under 2021 vol1 and 2022 vol2
Planned lectures of the semester:
Sep 12 - Attila Csikász-Nagy, Pazmany - in person
Introduction to computational systems biology
Sep 19 - Luca Cardelli, Oxford - online
Reactive Systems
Sep 26 - Andrea Ciliberto, Pazmany / IFOM - in person
How cells escape from a mitotic arrest
Oct 3 - Dezső Módos, Imperial College London - online
Biological Networks and their Applications
Oct 10 - Márton Ölbei, Imperial College London - online
Introduction to biological networks and network visualisation
Oct 17 - Alberto Paccanaro, Rio de Janeiro / London - in person
Machine learning algorithms for making inferences on networks and answering questions in biology, medicine and pharmacology
Oct 24 - Francesco Ferrari, IFOM - in person
From 1D to 3D chromatin organization
Oct 31 - Gábor Balázsi, Stony Brook University - in person
Metastatic networks and fitness landscapes
Nov 7 - Sheref Mansy, Alberta - online
Protocells and artificial cells to probe the divide between living and nonliving chemical systems
Nov 14 - Bence Szalai, Turbine - in person
Machine learning based prediction of drug sensitivity in cancer cell lines
Nov 21 - Jacky Snoep, Stellenbosch - online
In vitro reconstitution of metabolic pathways: kinetic modelling of the Weimberg pathway
Nov 28 - Didier Gonze, Bruxelles - online
Modeling the plant circadian clock
Dec 5 - Péter Horváth, BRC Szeged - in person
Life beyond the pixels: deep learning methods in single-cell analysis
Page updated
Google Sites
Report abuse