Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases

MLA

Charlotte A. Nelson, et al. “Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases.” Life, vol. 11, no. 1, Jan. 2021, p. 42. EBSCOhost, https://doi.org/10.3390/life11010042.

APA

Charlotte A. Nelson, Ana Uriarte Acuna, Amber M. Paul, Ryan T. Scott, Atul J. Butte, Egle Cekanaviciute, Sergio E. Baranzini, & Sylvain V. Costes. (2021). Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases. Life, 11(1), 42. https://doi.org/10.3390/life11010042

Chicago

Charlotte A. Nelson, Ana Uriarte Acuna, Amber M. Paul, Ryan T. Scott, Atul J. Butte, Egle Cekanaviciute, Sergio E. Baranzini, and Sylvain V. Costes. 2021. “Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases.” Life 11 (1): 42. doi:10.3390/life11010042.