1. Cell Biology
  2. Computational and Systems Biology

An in silico FSHD muscle fibre for modelling DUX4 dynamics and predicting the impact of therapy

  1. Matthew V Cowley
  2. Johanna Pruller
  3. Massimo Ganassi
  4. Peter S Zammit
  5. Christopher RS Banerji  Is a corresponding author
  1. University of Bath, United Kingdom
  2. King's College London, United Kingdom
  3. The Alan Turing Institute, United Kingdom
https://doi.org/10.7554/eLife.88345
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  1. Matthew V Cowley
  2. Johanna Pruller
  3. Massimo Ganassi
  4. Peter S Zammit
  5. Christopher RS Banerji
(2023)
An in silico FSHD muscle fibre for modelling DUX4 dynamics and predicting the impact of therapy
eLife 12:e88345.
https://doi.org/10.7554/eLife.88345
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  1. Matthew V Cowley
  2. Johanna Pruller
  3. Massimo Ganassi
  4. Peter S Zammit
  5. Christopher RS Banerji
(2023)
An in silico FSHD muscle fibre for modelling DUX4 dynamics and predicting the impact of therapy
eLife 12:e88345.
https://doi.org/10.7554/eLife.88345