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XPOP - 2019
XPOP - 2019
Project-Team Xpop
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
Project-Team Xpop
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


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2019 Project-Team Activity Report
XPOP
Statistical modelling for life sciences
Research centre: Saclay - Île-de-France
In partnership with: Ecole Polytechnique

In collaboration with: Centre de Mathématiques Appliquées (CMAP)



Field: Digital Health, Biology and Earth

Theme: Modeling and Control for Life Sciences
Keywords:
Computer Science and Digital Science:
  • A3.1.1. - Modeling, representation
  • A3.2.3. - Inference
  • A3.3. - Data and knowledge analysis
  • A3.3.1. - On-line analytical processing
  • A3.3.2. - Data mining
  • A3.3.3. - Big data analysis
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.4. - Optimization and learning
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.7. - Kernel methods
  • A3.4.8. - Deep learning
  • A5.9.2. - Estimation, modeling
  • A6.1.1. - Continuous Modeling (PDE, ODE)
  • A6.2.2. - Numerical probability
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.3.3. - Data processing
  • A6.3.5. - Uncertainty Quantification
Other Research Topics and Application Domains:
  • B1.1.4. - Genetics and genomics
  • B1.1.7. - Bioinformatics
  • B1.1.10. - Systems and synthetic biology
  • B2.2.3. - Cancer
  • B2.2.4. - Infectious diseases, Virology
  • B2.4.1. - Pharmaco kinetics and dynamics
  • B9.1.1. - E-learning, MOOC