Computational Systems Biology of Cancer
Multimodal data integration
The diversity across tumors from different patients and even across cancer cells from the same patient makes the picture very complex. The idea of ‘personalized’ or ‘precision’ medicine has been suggested, aiming to find tailored treatment regimen for each patient according to the individual genetic background and tumor molecular profile. This attempt is achievable thanks to sufficient molecular characterization of cancers accumulated using high-throughput technologies and advanced imaging technologies. However, despite availability of cancer multi-scale data, they are not fully exploited to provide the clue on deregulated mechanisms that would guide better patients stratification and to specific treatment in cancer.
Cancer, Clinical research, Prior knowledge, Omics, Spatial transcriptomics, Imaging data, Radiomics, Clinical data, Text mining, Integration,Interpretation, Mathematical modelling, Predictive models for various multi-omics data types,Treatment response prediction and prognosis, Multi-modal data integration.
This course is a FEBS-supported event.
Joaquin DOPAZO -ES
Oznur TASTAN -TR
Mark IBBERSON - CH
María RODRÍGUEZ MARTÍNEZ - CH
Asmund FLOBAK - NO
Vera PANCALDI - FR
Emmanuel BARILLOT - FR
Andrei ZINOVYEV - FR
Stéphanie ALLASSONNIERE - FR
Irène BUVAT - FR
Thomas WALTER - FR
Chloé-Agathe AZENCOTT – FR
Kim Thrane - SE
Celine Vallot - FR
Peter KHARCHENKO - USA - SEMINAR MARIE CURIE SERIES
Elana J FERTIG - USA
Yvan SAEYS – BE
The objective of the course is to promote better use of computational approaches into biological labs and to clinics. We aim to help participants to improve interpretation of various types of data accumulated in the labs using multi-modal data integration approaches.
This course is supported by the Federation of European Biochemical Societies (FEBS). One of FEBS’ core objectives is the publication of high-quality journals by scientists for scientists. Check HERE for more information about FEBS Journals.
The registration for students and post-doc is free-of-charge. Registration is mandatory for all categories of attendees.
Upon the registration and following the selection procedure, the course participants will be provided with access to:
- Lectures, slides, posters, course booklet
- Career development workshop session
- Journal club presentations
- Social events
>> NEW << Registration deadline: July 30, 2022