Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
PDF e-Pub


2019 Project-Team Activity Report
LIFEWARE
Computational systems biology and optimization
Research centre: Saclay - Île-de-France

Field: Digital Health, Biology and Earth
Theme: Computational Biology
Keywords:
Computer Science and Digital Science:
  • A2.1.1. - Semantics of programming languages
  • A2.1.5. - Constraint programming
  • A2.1.10. - Domain-specific languages
  • A2.2.1. - Static analysis
  • A2.3.2. - Cyber-physical systems
  • A2.4. - Formal method for verification, reliability, certification
  • A2.4.1. - Analysis
  • A2.4.2. - Model-checking
  • A2.4.3. - Proofs
  • A3.4.2. - Unsupervised learning
  • A3.4.4. - Optimization and learning
  • A6.1.1. - Continuous Modeling (PDE, ODE)
  • A6.1.2. - Stochastic Modeling
  • A6.1.3. - Discrete Modeling (multi-agent, people centered)
  • A6.1.4. - Multiscale modeling
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A6.3.1. - Inverse problems
  • A6.3.4. - Model reduction
  • A7.2. - Logic in Computer Science
  • A8.1. - Discrete mathematics, combinatorics
  • A8.2. - Optimization
  • A8.7. - Graph theory
  • A9.7. - AI algorithmics
Other Research Topics and Application Domains:
  • B1. - Life sciences
  • B1.1.2. - Molecular and cellular biology
  • B1.1.7. - Bioinformatics
  • B1.1.8. - Mathematical biology
  • B1.1.10. - Systems and synthetic biology
  • B2. - Health
  • B2.2.3. - Cancer
  • B2.4.1. - Pharmaco kinetics and dynamics
  • B2.4.2. - Drug resistance
  • B9. - Society and Knowledge