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
BIGS
Biology, genetics and statistics
Research centre: Nancy - Grand Est
In partnership with: CNRS, Université de Lorraine
In collaboration with: Institut Elie Cartan de Lorraine (IECL)

Field: Digital Health, Biology and Earth
Theme: Computational Biology
Keywords:
Computer Science and Digital Science:
  • A3.1. - Data
  • A3.1.1. - Modeling, representation
  • A3.2. - Knowledge
  • 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
  • A3.4.7. - Kernel methods
  • A6. - Modeling, simulation and control
  • A6.1. - Methods in mathematical modeling
  • A6.1.2. - Stochastic Modeling
  • A6.2. - Scientific computing, Numerical Analysis & Optimization
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.4. - Automatic control
  • A6.4.2. - Stochastic control
Other Research Topics and Application Domains:
  • B1. - Life sciences
  • B1.1. - Biology
  • B1.1.2. - Molecular and cellular biology
  • B1.1.10. - Systems and synthetic biology
  • B1.1.11. - Plant Biology
  • B2.2. - Physiology and diseases
  • B2.2.1. - Cardiovascular and respiratory diseases
  • B2.2.3. - Cancer
  • B2.3. - Epidemiology
  • B2.4. - Therapies
  • B5.5. - Materials