Machine learning approaches reveal subtle differences in breathing and sleep fragmentation in Phox2b-derived astrocytes ablated mice Article

Silva, Talita M, Borniger, Jeremy C, Alves, Michele Joana et al. (2021). Machine learning approaches reveal subtle differences in breathing and sleep fragmentation in Phox2b-derived astrocytes ablated mice . JOURNAL OF NEUROPHYSIOLOGY, 125(4), 1164-1179. 10.1152/jn.00155.2020

Open Access International Collaboration

cited authors

  • Silva, Talita M; Borniger, Jeremy C; Alves, Michele Joana; Correa, Diego Alzate; Zhao, Jing; Fadda, Paolo; Toland, Amanda Ewart; Takakura, Ana C; Moreira, Thiago S; Czeisler, Catherine M; Otero, Jose Javier

sustainable development goals

authors

publication date

  • April 1, 2021

published in

keywords

  • BAROMETRIC METHOD
  • BORUTA
  • DISEASE
  • Life Sciences & Biomedicine
  • Neurosciences
  • Neurosciences & Neurology
  • Phox2B
  • Physiology
  • ROLES
  • Science & Technology
  • VENTILATION
  • machine learning
  • random forest
  • supervised learning
  • unsupervised learning

Digital Object Identifier (DOI)

publisher

  • AMER PHYSIOLOGICAL SOC

start page

  • 1164

end page

  • 1179

volume

  • 125

issue

  • 4