Supporting Information from Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging

Autor: Livia S. Eberlin, Anil K. Sood, Robert L. Dood, Jonathan H. Young, Jinsong Liu, Li Liang, Jialing Zhang, Robert Tibshirani, Kshipra Gharpure, Marta Sans
Rok vydání: 2023
DOI: 10.1158/0008-5472.22413486.v1
Popis: The supporting information file contains figures with experimental data such as tandem mass spectrometry mass spectra, 2D ion images, representative mass spectra of cancer and normal tissues, and mass spectra of standard compounds. Tables are also included which present identification of molecular markers, and predictive accuracy results for the molecular models.
Databáze: OpenAIRE