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

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 work, we have used the information obtained from s...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:Front Immunol
Autori principali: Estévez, Olivia, Anibarro, Luis, Garet, Elina, Pallares, Ángeles, Barcia, Laura, Calviño, Laura, Maueia, Cremildo, Mussá, Tufária, Fdez-Riverola, Florentino, Glez-Peña, Daniel, Reboiro-Jato, Miguel, López-Fernández, Hugo, Fonseca, Nuno A., Reljic, Rajko, González-Fernández, África
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2020
Soggetti:
Immunology
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7372107/
https://ncbi.nlm.nih.gov/pubmed/32760401
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fimmu.2020.01470
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi