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Generative adversarial networks simulate gene expression and predict perturbations in single cells
Arsham Ghahramani, Fiona M. Watt, Nicholas M. Luscombe
doi: https://doi.org/10.1101/262501
Arsham Ghahramani
1The Francis Crick Institute, 1 Midland Road, London NW1 1AT, United Kingdom
2King’s College London, Centre for Stem Cells and Regenerative Medicine, 28th Floor, Tower Wing, Guy’s Hospital, Great Maze Pond, London SE1 9RT, United Kingdom
Fiona M. Watt
2King’s College London, Centre for Stem Cells and Regenerative Medicine, 28th Floor, Tower Wing, Guy’s Hospital, Great Maze Pond, London SE1 9RT, United Kingdom
Nicholas M. Luscombe
1The Francis Crick Institute, 1 Midland Road, London NW1 1AT, United Kingdom
3UCL Genetics Institute, University College London, London WC1E 6BT, United Kingdom
4Okinawa Institute of Science & Technology Graduate University, Okinawa 904-0495, Japan
Posted July 30, 2018.
Generative adversarial networks simulate gene expression and predict perturbations in single cells
Arsham Ghahramani, Fiona M. Watt, Nicholas M. Luscombe
bioRxiv 262501; doi: https://doi.org/10.1101/262501
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