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Experimental–computational study of carbon nanotube effects on mitochondrial respiration in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants
Experimental–computational study of carbon nanotube effects on mitochondrial respiration in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants
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Experimental–computational study of carbon nanotube effects on mitochondrial respiration in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants

Michael González-Durruthy Luciane C Alberici; Carlos Curti; Zeki Naal; David Tatsuo A Sawazaki; José M Vázquez-Naya; Humberto González-Díaz; Cristian R Munteanu

Journal of Chemical Information and Modeling Washington v. 57, n. 5, p. 1029-1044, 2017

Washington 2017

Localização: FCFRP - Fac. Ciên. Farm. Ribeirão Preto    (pcd 2915184 Estantes Deslizantes )(Acessar)

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Deste Autor:

  1. Alberici, L
  2. Vázquez-Naya, J
  3. Munteanu, C
  4. González-Díaz, H
  5. Curti, C

Neste Assunto:

  1. Nanotubos De Carbono
  2. Regressão Linear
  3. Mitocôndrias
  4. Entropia
  5. Oxigênio

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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