Your browser doesn't support javascript.
loading
Dimensionality-reduction techniques for complex mass spectrometric datasets: application to laboratory atmospheric organic oxidation experiments.
Koss, Abigail R; Canagaratna, Manjula R; Zaytsev, Alexander; Krechmer, Jordan E; Breitenlechner, Martin; Nihill, Kevin J; Lim, Christopher Y; Rowe, James C; Roscioli, Joseph R; Keutsch, Frank N; Kroll, Jesse H.
Afiliación
  • Koss AR; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, USA.
  • Canagaratna MR; Aerodyne Research Incorporated, Billerica, MA, USA.
  • Zaytsev A; Harvard University, Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA.
  • Krechmer JE; Aerodyne Research Incorporated, Billerica, MA, USA.
  • Breitenlechner M; Harvard University, Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA.
  • Nihill KJ; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, USA.
  • Lim CY; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, USA.
  • Rowe JC; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, USA.
  • Roscioli JR; Aerodyne Research Incorporated, Billerica, MA, USA.
  • Keutsch FN; Harvard University, Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA.
  • Kroll JH; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, USA.
Atmos Chem Phys ; 20(2): 1021-1041, 2020.
Article en En | MEDLINE | ID: mdl-33777125
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Atmos Chem Phys Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Atmos Chem Phys Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos