Traveling on discrete embeddings of gene expression

@article{Lovato2016TravelingOD,
  title={Traveling on discrete embeddings of gene expression},
  author={Pietro Lovato and Manuele Bicego and Maria Kesa and Nebojsa Jojic and Vittorio Murino and Alessandro Perina},
  journal={Artificial intelligence in medicine},
  year={2016},
  volume={70},
  pages={1-11}
}
OBJECTIVE High-throughput technologies have generated an unprecedented amount of high-dimensional gene expression data. Algorithmic approaches could be extremely useful to distill information and derive compact interpretable representations of the statistical patterns present in the data. This paper proposes a mining approach to extract an informative representation of gene expression profiles based on a generative model called the Counting Grid (CG). METHOD Using the CG model, gene… CONTINUE READING
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