Deep learning: new computational modelling techniques for genomics
Helmholtz Zentrum München · Weihenstephan-Triesdorf University of Applied Sciences · +1 more institution
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Abstract
No abstract available for this paper.
Citation impact
1,207
total citations
- FWCI
- 55.97
- Percentile
- 100%
- References
- 205
Citations per year
Authors
4- GEGökçen EraslanCorresponding
Helmholtz Zentrum München, Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich
- ŽAŽiga Avsec
Technical University of Munich
- JGJulien Gagneur
Technical University of Munich
- FJFabian J. Theis
Helmholtz Zentrum München, Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich
Topics & keywords
Topics
Keywords
- Genomics
- Computational genomics
- Artificial intelligence
- Computer science
- Machine learning
- Deep learning
- Functional genomics
- Data science
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