TY  - JOUR 
AU  - Estévez Martínez, Olivia
AU  - Anibarro García, Luis
AU  - Garet, Elina
AU  - Pallares, Ángeles
AU  - Barcia, Laura
AU  - Calviño, Laura
AU  - Maueia, Cremildo
AU  - Mussá, Tufária
AU  - Fernández Riverola, Florentino
AU  - González Peña, Daniel
AU  - Reboiro Jato, Miguel
AU  - López Fernández, Hugo
AU  - Fonseca, Nuno A.
AU  - Reljic, Rajko
AU  - González Fernández, Maria Africa
PY  - 2020
SN  - 16643224
UR  - http://hdl.handle.net/11093/2331
AB  - A better understanding of the response against Tuberculosis (TB) infection is required
to accurately identify the individuals with an active or a latent TB infection (LTBI)
and also those LTBI patients at higher risk of developing active TB. In this...
LA  - eng
PB  - Frontiers in Immunology
TI  - An RNA-seq based machine learning approach identifies latent tuberculosis patients with an active tuberculosis profile
DO  - 10.3389/fimmu.2020.01470
ER  -