New Results

Synthesizer: Expediting synthesis studies from context-free data with natural language processing

Lisa Gandy, Jordan Gumm, Benjamin Fertig, Michael J. Kennish, Sameer Chavan, Ann Thessen, Luigi Marchionni, Xiaoxan Xia, Shambhavi Shankrit, Elana J Fertig
doi: https://doi.org/10.1101/053629

Article Information

doi 
https://doi.org/10.1101/053629
History 
  • May 16, 2016.
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-NC-ND 4.0 International license.

Author Information

  1. Lisa Gandy1,
  2. Jordan Gumm1,
  3. Benjamin Fertig2,
  4. Michael J. Kennish3,
  5. Sameer Chavan4,
  6. Ann Thessen5,
  7. Luigi Marchionni6,
  8. Xiaoxan Xia6,
  9. Shambhavi Shankrit6 and
  10. Elana J Fertig6
  1. 1Central Michigan University
  2. 2University of Maryland College Park
  3. 3Rutgers University
  4. 4University of Colorado Denver
  5. 5Ronan Institute for Independent Scholarship
  6. 6Johns Hopkins University School of Medicine
Back to top
Posted May 16, 2016.
Download PDF

Supplementary Material

Email
Synthesizer: Expediting synthesis studies from context-free data with natural language processing
Lisa Gandy, Jordan Gumm, Benjamin Fertig, Michael J. Kennish, Sameer Chavan, Ann Thessen, Luigi Marchionni, Xiaoxan Xia, Shambhavi Shankrit, Elana J Fertig
bioRxiv 053629; doi: https://doi.org/10.1101/053629
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools

Subject Area