2021
September 27th
October 1st
visuel sysbio2021
International course

4th course on Computational Systems Biology of Cancer: Multi-omics and Machine Learning Approaches

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.

This course is a FEBS-supported event.

Please note that due to the current pandemic situation and strict regulations regarding face-to-face meetings, this will be a REAL-TIME VIRTUAL COURSE (Paris Time, GMT+1).

Inscription deadline postponed to September 10th, 2021.

Course in English
4 ECTS
Registration deadline

Presentation

Objectives

The objective of the course is to promote better integration of computational approaches into biological and clinical labs and to clinics. We aim to help participants to improve interpretation and use of multi-scale data that nowadays are accumulated in any biological or medical lab.

This year, the course will particularly focus on application of Machine Learning (ML) approaches for multi-omics data analysis in cancer research and benefits for clinics.

We will review current methods and tools for the analysis and interpretation of big data, along with concrete applications related to cancer. In particular, we will emphasize the role of ML methods for understanding the heterogeneity of tumor and applications in personalized treatment schemes development in precision medicine applications by leveraging multi-omics and machine learning approaches.

We invited leading speakers from different fields in cancer systems biology, especially from the field of big data and Machine Learning (ML) in cancer research and in clinics. The invited speakers will expose various approaches for omics, imaging, clinical data analysis and interpretation, combining signalling networks together with multi-scale data and associating it to clinical data. In addition, drug sensitivity prediction algorithms, biomarkers and cancer drivers identification; patient stratification approaches; application of mathematical modelling and image analysis in cancer with focus on ML approaches for integrating multi-omics data analysis will be demonstrated.

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.

 

Discussion & Workshops

Round table for career development

Personal Work

In addition to attendance of the online lectures, the participants are expected to take part in the following virtual events:

  • Presentation of their own scientific project with a flash presentation and a poster (activity specific for PhD Students and Post-docs).
  • Participation in the Career development workshop during the Thursday special virtual session (all participants).

Pre-selected PhD and post-doc participants will be asked to:

  • Present virtual poster sessions. Submission of posters in A0 size, pdf format.
  • Present flash presentations sessions (3 minutes). Submission of slides in pdf format.
  • Participation in the Journal Club to present and discuss milestone papers in the cancer systems biology field. Scientific papers within the main topics covered by the course will be sent to the accepted applicants for presentations during virtual journal club (for Master students).

Pre-selected Master students participants will be assigned seminal articles in the field. They will be asked to prepare, submit their presentations and present the assigned articles during virtual journal club sessions.

ECTS Information

The course will be validated by 4 ECTS for Master and PhD students.

Exam & Evaluation

Evaluation of students (by scientific committee)

  • Master students will be evaluated according to their presentation in a Journal club
  • PhD students will be evaluated according to their flash presentations + posters
  • Post-doc applicants are requested to present a flash presentation and a poster on their scientific research.  Most significant abstracts will be chosen for  more prolonged 15-minutes talks.

The course will be validated by 4 ECTS for Master and PhD students.

Attendance of the virtual course will be monitored in a daily basis, using online forms. Course certificates will be issued and sent to the participants at the end of the course.

Practical Informations

Practical Informations

This is a real-time virtual course. 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:

  • Web lectures
  • Lecture videos, slides, posters, course booklet
  • Web round table discussions
  • Career development workshop session
  • Journal club presentations
  • Online social events
Selection result
06/09/2021
There is no registration fee for this course
Place
Virtual
online

Maximum Number of Participants

150 people

Number of Participants

The real-time online course can accommodate up to 150 Master 2, PhD students and post-docs.

In addition, we expect attendees among researchers, physicians and pharma companies representatives interested to learn about systems biology impact into cancer research and treatment.

Selection Criteria

No previous experience in programming and modelling methods or deep knowledge in systems biology is required. Talks will be constructed in a didactic manner, introducing the audience to the basics on systems biology approaches and applications for cancer research.

Selections for participation in the course are based on your application documents, as listed below :

1 - Motivation satement explaining objectives to attend the course (max. 2000 caracters )

2 - Research project Abstract or Description of a scientifi topic in the form of abstract (max 200 caracters)

3 - 1 PDF file compile the following CV (max. 1 page); Description of scientific topic in a form of abstract (max. 1 page)

4 - 1 PDF file - Recommendation letter from at least 1 reference contact

Note: if your reference(s) wishes to communicate directly with the course's scientific committee, the recommendation letter(s) can be sent to BEFORE the registration deadline.

Speakers

Speakers

Julio SAEZ-RODRIGUEZ - DE

Magnus RATTRAY - UK

Emmanuel BARILLOT - FR

Anaïs BAUDOT - FR

Olivier AYRAULT - FR

Nathalie VIALANEIX - FR

Carl HERRMANN - DE

Andrei ZINOVYEV - FR

Kay NIESELT - DE

Stéphanie ALLASSONNIERE - FR

Samuel KASKI - FI

Irène BUVAT - FR

Asmund FLOBAK - NO

Joakim LUNDEBERG - SE

Pierre FILLARD - FR

Nikos PARAGIOS - FR

Thomas‎ WALTER - FR

Jean-Philippe VERT - FR

Chloé-Agathe AZENCOTT - FR

 

Lodewyk WESSELS – NL

Joaquin DOPAZO - ES

Keynote speakers

Laure FOURNIER - FR

Yvan SAEYS – BE

This list of speakers may still change

Organizers

Inna KUPERSTEIN - Institut Curie, FR

Emmanuel BARILLOT - Institut Curie, FR

 

Stéphanie ALLASSONNIERE - Université Paris Descartes, France , Ecole Polytechnique, France

Kay NIESELT  - University of Tübingen, DE

Denis THIEFFRY - IBENS - ENS - FR

Mathur PALLAVI - Institut Curie, FR

Aafrin PETTIWALA - Institut Curie, FR

Scientific Committee

Inna KUPERSTEIN - Institut Curie, FR

Emmanuel BARILLOT - Institut Curie, FR

Chloé-Agathe Azencott CBIO - MINES - ParisTech – FR

Thomas‎ WALTER CBIO - MINES - ParisTech – FR

Stéphanie ALLASSONNIERE - Université Paris Descartes, France , Ecole Polytechnique, France

Kay NIESELT  - University of Tübingen, DE

Denis THIEFFRY - IBENS - ENS - FR

Laurence CALZONE - Institut Curie, FR

Andrei ZINOVYEV - Institut Curie, FR

Supported by

Organization

  • Training Unit - Institut Curie