1. Medicine

Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors

  1. AJ Venkatakrishnan
  2. Arjun Puranik
  3. Akash Anand
  4. David Zemmour
  5. Xiang Yao
  6. Xiaoying Wu
  7. Ramakrishna Chilaka
  8. Dariusz K Murakowski
  9. Kristopher Standish
  10. Bharathwaj Raghunathan
  11. Tyler Wagner
  12. Enrique Garcia-Rivera
  13. Hugo Solomon
  14. Abhinav Garg
  15. Rakesh Barve
  16. Anuli Anyanwu-Ofili
  17. Najat Khan
  18. Venky Soundararajan  Is a corresponding author
  1. nference, United States
  2. nference, India
  3. Janssen, United States
  4. nference, Canada
https://doi.org/10.7554/eLife.58040
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  1. AJ Venkatakrishnan
  2. Arjun Puranik
  3. Akash Anand
  4. David Zemmour
  5. Xiang Yao
  6. Xiaoying Wu
  7. Ramakrishna Chilaka
  8. Dariusz K Murakowski
  9. Kristopher Standish
  10. Bharathwaj Raghunathan
  11. Tyler Wagner
  12. Enrique Garcia-Rivera
  13. Hugo Solomon
  14. Abhinav Garg
  15. Rakesh Barve
  16. Anuli Anyanwu-Ofili
  17. Najat Khan
  18. Venky Soundararajan
(2020)
Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors
eLife 9:e58040.
https://doi.org/10.7554/eLife.58040
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  1. AJ Venkatakrishnan
  2. Arjun Puranik
  3. Akash Anand
  4. David Zemmour
  5. Xiang Yao
  6. Xiaoying Wu
  7. Ramakrishna Chilaka
  8. Dariusz K Murakowski
  9. Kristopher Standish
  10. Bharathwaj Raghunathan
  11. Tyler Wagner
  12. Enrique Garcia-Rivera
  13. Hugo Solomon
  14. Abhinav Garg
  15. Rakesh Barve
  16. Anuli Anyanwu-Ofili
  17. Najat Khan
  18. Venky Soundararajan
(2020)
Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors
eLife 9:e58040.
https://doi.org/10.7554/eLife.58040