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Probabilistic models and machine learning in structural bioinformatics
Thomas Hamelryck
Computational and RNA Biology
13
Citations (Scopus)
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Dive into the research topics of 'Probabilistic models and machine learning in structural bioinformatics'. Together they form a unique fingerprint.
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Keyphrases
Artificial Protein
20%
Automated Comparison
20%
Bayesian Principle
20%
Close Ties
20%
Machine Learning
100%
Macromolecular Structure
40%
Model Learning
100%
Selected Topic
20%
Structural Bioinformatics
100%
Biochemistry, Genetics and Molecular Biology
Bioinformatics
100%
Chemical Structure
20%
Enzyme
20%
Genomics
20%
Macromolecule
20%
Magnetism
20%
Protein Structure
20%
RNA Structure
20%
Solution and Solubility
20%
Structure Determination
20%
Structure Prediction
20%
X Ray
20%
X-Ray Crystallography
20%
Material Science
Molecular Structure
50%
Protein Structure
50%
Structure Prediction
50%
X-Ray Crystallography
50%