Googlomics: Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks
Collected date : from Dec 2015 to Dec 2016
Signaling pathways represent parts of the global biological network which connects them into a seamless whole through complex direct and indirect (hidden) crosstalk whose structure can change during normal development or in a pathological conditions such as cancer. Advanced methods for ...
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Discipline
- Physiology
- Anatomy & morphology
- Computer science, theory & methods
- Mathematical & computational biology
- Geology
- Physics, mathematical
- Multidisciplinary sciences
- Computer science, information systems
- Oncology
- Pharmacology & pharmacy
- Cultural studies
- Computer science, artificial intelligence
- Public, environmental & occupational health
- Genetics & heredity
- Health care sciences & services
- Humanities, multidisciplinary
- Infectious diseases
- Microbiology
Collection
- Complex directed networks
- PollenChrono
- Données de thèse
- Dynamique des orogènes anciennes
- Données de thèse de Jonas Vanardois
- Faults and shear zones
- OMIV
- Données de thèse de Thomas Leydier
- Données de thèse de Alexandre Lhosmot
- Organic synthesis
- Données de thèse de Paul Breugnot
- Bioorganic synthesis
- Histoire des catastrophes
- Neuro group @ FEMTO-ST