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Deriving Disease Modules from the Compressed Transcriptional Space Embedded in a Deep Auto-encoder

Sanjiv K. Dwivedi, Andreas Tjärnberg, Jesper Tegnér, Mika Gustafsson
doi: https://doi.org/10.1101/680983

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doi 
https://doi.org/10.1101/680983
History 
  • June 24, 2019.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

Author Information

  1. Sanjiv K. Dwivedi1,
  2. Andreas Tjärnberg1,
  3. Jesper Tegnér2,3,4 and
  4. Mika Gustafsson1,*
  1. 1Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
  2. 2Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955–6900, Saudi Arabia
  3. 3Unit of Computational Medicine, Department of Medicine, Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
  4. 4Science for Life Laboratory, Solna, Sweden
  1. ↵*Corresponding author; email: mika.gustafsson{at}liu.se
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Posted June 24, 2019.
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Deriving Disease Modules from the Compressed Transcriptional Space Embedded in a Deep Auto-encoder
Sanjiv K. Dwivedi, Andreas Tjärnberg, Jesper Tegnér, Mika Gustafsson
bioRxiv 680983; doi: https://doi.org/10.1101/680983
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