Miagoux, Q.; Singh, V.; de Mézquita, D.; Chaudru, V.; Elati, M.; Petit-Teixeira, E.; Niarakis, A.
Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map. J. Pers. Med. 2021, 11, 785.
https://doi.org/10.3390/jpm11080785
AMA Style
Miagoux Q, Singh V, de Mézquita D, Chaudru V, Elati M, Petit-Teixeira E, Niarakis A.
Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map. Journal of Personalized Medicine. 2021; 11(8):785.
https://doi.org/10.3390/jpm11080785
Chicago/Turabian Style
Miagoux, Quentin, Vidisha Singh, Dereck de Mézquita, Valerie Chaudru, Mohamed Elati, Elisabeth Petit-Teixeira, and Anna Niarakis.
2021. "Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map" Journal of Personalized Medicine 11, no. 8: 785.
https://doi.org/10.3390/jpm11080785
APA Style
Miagoux, Q., Singh, V., de Mézquita, D., Chaudru, V., Elati, M., Petit-Teixeira, E., & Niarakis, A.
(2021). Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map. Journal of Personalized Medicine, 11(8), 785.
https://doi.org/10.3390/jpm11080785