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Computational Methods for Modelling and Analysing Biological Networks
Antti Larjo
Research output
:
Book/Report
›
Doctoral thesis
›
Collection of Articles
292
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Dive into the research topics of 'Computational Methods for Modelling and Analysing Biological Networks'. Together they form a unique fingerprint.
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Keyphrases
Network Structure
100%
Measure Data
100%
Computational Methods
100%
Biological Networks
100%
Inference Algorithms
100%
Active Learning
100%
Popular
50%
Computational Model
50%
Modeling Algorithm
50%
Biological Systems
50%
Metabolic Network Model
50%
Metabolic Network
50%
State-based
50%
Realistic Scenario
50%
Combined Model
50%
Bayesian Network
50%
Biochemical Networks
50%
Biological Hypothesis
50%
Modeling Framework
50%
Active Learning Methods
50%
Learning Networks
50%
Bacterial Movement
50%
State Modeling
50%
Heterogeneous Data Types
50%
Computational Inference
50%
Beneficial mutations
50%
Structure Inference
50%
Computer Science
Computational Method
100%
Active Learning
100%
Measurement Data
66%
Network Structure
66%
Biological System
33%
Data Type
33%
Heterogeneous Data
33%
Computational Modeling
33%
Bayesian Networks
33%
Network Modeling
33%
Modeling Framework
33%
Learning Network
33%
Biochemistry, Genetics and Molecular Biology
Metabolic Network
100%
Metabolic Network Modelling
100%
Network Learning
100%