Precursor microRNA Identification Using Deep Convolutional Neural Networks (bibtex)
by B. T. Do, V. Golkov, G. E. Gürel and D. Cremers
Reference:
Precursor microRNA Identification Using Deep Convolutional Neural Networks (B. T. Do, V. Golkov, G. E. Gürel and D. Cremers), In bioRxiv preprint 414656, 2018. (bioRxiv:414656)
Bibtex Entry:
@article{Do-et-al-2018-pre-miRNA,
 author = {B. T. Do and V. Golkov and G. E. Gürel and D. Cremers},
 title = {Precursor {microRNA} Identification Using Deep Convolutional Neural Networks},
 year = {2018},
 %  howpublished = {Preprint},
 journal = {bioRxiv preprint 414656},
 keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, biology, gene regulation},
}
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Precursor microRNA Identification Using Deep Convolutional Neural Networks (bibtex)
Precursor microRNA Identification Using Deep Convolutional Neural Networks (bibtex)
by B. T. Do, V. Golkov, G. E. Gürel and D. Cremers
Reference:
Precursor microRNA Identification Using Deep Convolutional Neural Networks (B. T. Do, V. Golkov, G. E. Gürel and D. Cremers), In bioRxiv preprint 414656, 2018. (bioRxiv:414656)
Bibtex Entry:
@article{Do-et-al-2018-pre-miRNA,
 author = {B. T. Do and V. Golkov and G. E. Gürel and D. Cremers},
 title = {Precursor {microRNA} Identification Using Deep Convolutional Neural Networks},
 year = {2018},
 %  howpublished = {Preprint},
 journal = {bioRxiv preprint 414656},
 keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, biology, gene regulation},
}
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members:golkov

Dr. Vladimir Golkov

Postdoctoral ResearcherTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: vladimir.golkov@tum.de

Students who did projects under my supervision went on to become PhD students of Prof. Cremers, Prof. Navab, Prof. Rost, Prof. Nießner, Prof. Haddadin, Prof. Precup, Prof. Razansky, Prof. Ntziachristos (with Prof. van der Smagt), Prof. Griffin & Prof. Kleinberg, Prof. Van Gool, Prof. Schindler, Prof. Liò, Prof. Theis, and others.

Quick links: C++, Matlab (without password), Python, NumPy, best coding practices, software craftsmanship, student projects, mathematical image processing (free access through TUM), proximal algorithms, biology, literature network 1 2, research and scientific writing 1 2 3, thesis guide, soft skills manual for students, TUM Career Guide for International Students, TUM Career Manual, PhD scholarships 1 2 3 4 etc., conferences, Ten Simple Rules series

Grant support: Deutsche Telekom Foundation