Project-Team Bigs
Members
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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2016 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:
  • 3. - Data and knowledge
  • 3.1. - Data
  • 3.1.1. - Modeling, representation
  • 3.2. - Knowledge
  • 3.2.3. - Inference
  • 3.3. - Data and knowledge analysis
  • 3.3.1. - On-line analytical processing
  • 3.3.2. - Data mining
  • 3.3.3. - Big data analysis
  • 3.4.1. - Supervised learning
  • 3.4.2. - Unsupervised learning
  • 3.4.4. - Optimization and learning
  • 3.4.7. - Kernel methods
  • 3.5. - Social networks
  • 3.5.1. - Analysis of large graphs
  • 4.9.1. - Intrusion detection
  • 6. - Modeling, simulation and control
  • 6.1. - Mathematical Modeling
  • 6.1.2. - Stochastic Modeling (SPDE, SDE)
  • 6.2. - Scientific Computing, Numerical Analysis & Optimization
  • 6.2.3. - Probabilistic methods
  • 6.2.4. - Statistical methods
  • 6.4. - Automatic control
  • 6.4.2. - Stochastic control
Other Research Topics and Application Domains:
  • 1. - Life sciences
  • 1.1. - Biology
  • 1.1.2. - Molecular biology
  • 1.1.3. - Cellular biology
  • 1.1.6. - Genomics
  • 1.1.11. - Systems biology
  • 1.1.13. - Plant Biology
  • 1.2. - Ecology
  • 1.4. - Pathologies
  • 2.2. - Physiology and diseases
  • 2.2.1. - Cardiovascular and respiratory diseases
  • 2.2.3. - Cancer
  • 2.3. - Epidemiology
  • 2.4. - Therapies
  • 5.5. - Materials
  • 9. - Society and Knowledge
  • 9.1. - Education