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Deep learning for
de novo
RNA secondary structure prediction
Marcell Szikszai
Multi-Discipline
School of Physics, Mathematics and Computing
Research output
:
Thesis
›
Doctoral Thesis
452
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Research output
(1)
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Dive into the research topics of 'Deep learning for
de novo
RNA secondary structure prediction'. Together they form a unique fingerprint.
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Weight
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Computer Science
Deep Learning Method
100%
Secondary Structure
100%
Prediction Model
25%
Deep Learning Model
25%
Natural Language Processing
25%
Synthetic Data
25%
Generative Model
25%
Computer Vision
25%
Biochemistry, Genetics and Molecular Biology
Protein Secondary Structure
100%
RNA
100%
Natural Language Processing
33%
Protein Structure Prediction
33%
Drug Development
33%
Medicine and Dentistry
Protein Secondary Structure
100%
In Silico
33%
Language Processing
33%
Prediction Model
33%
Generative Model
33%
Deep Learning Model
33%
Protein Structure Prediction
33%