Publicacións en colaboración con investigadores/as de St George's, University of London (3)

2020

  1. An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile

    Frontiers in Immunology, Vol. 11

  2. Serum proteomics of active tuberculosis patients and contacts reveals unique processes activated during Mycobacterium tuberculosis infection

    Scientific Reports, Vol. 10, Núm. 1

2019

  1. High-resolution quantitative proteomics applied to the study of the specific protein signature in the sputum and saliva of active tuberculosis patients and their infected and uninfected contacts

    Journal of Proteomics, Vol. 195, pp. 41-52