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Single cell data explosion: Deep learning to the rescue

Other Quantitative Biology 2019-03-12 v2
Authors: A. K. M. Azad , Fatemeh Vafaee
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Abstract

The plethora of single-cell multi-omics data is getting treatment with deep learning, a revolutionary method in artificial intelligence, which has been increasingly expanding its reign over the bioscience frontiers.

Keywords

computational biology software and tools systems biology

Cite

@article{arxiv.1901.06105,
  title  = {Single cell data explosion: Deep learning to the rescue},
  author = {A. K. M. Azad and Fatemeh Vafaee},
  journal= {arXiv preprint arXiv:1901.06105},
  year   = {2019}
}

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