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1Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks
M. Marouf, P. Machart, D. Magruder, V. Bansal, C. Kilian, C. Krebs, and S. Bonn. bioRxiv, (2018)Code is available: https://github.com/greenelab/deep-review/issues/906.
5 years ago by @becker
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nalab
gan
insilico
in
silico
model
generation
generative
single
cell
nalabganinsilicoinsilicomodelgenerationgenerativesinglecell
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2Considering baseline homophily when generating spatial social networks
S. Holzhauer, F. Krebs, and A. Ernst. Kazakov, D., & Tsoulas, G. (Eds.): Proceedings of AISB '11: Social Networks and Multiagent Systems, Society for the Study of Artificial Intelligence and the Simulation of Behaviour., page 20-26. York, UK, AISB (Society for the Study of Artificial Intelligence and the Simulation of Behaviour), University of York, (2011)
12 years ago by @folke
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random
spatial
network
generation
CESR
homophily
randomspatialnetworkgenerationCESRhomophily
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